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Paper Citation Record · LEDGER

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning

As of 20 August 2026, this Paper Citation Record lists 100 of 164 outbound references and 0 inbound Pith citation observations for arXiv:2505.07267.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.07267 v1

Coverage vector

measured 100 of 164 reference resolution

Typed states for the displayed outbound observations.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

100 of 164 outbound references displayed

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External citation measurements

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Outbound references

Observation bad6562d-57b5-46bf-8f01-f1eff79b93e2 · outbound

This paper cites Adaptive time series forecasting with markovian variance switching, 2024.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Adaptive time series forecasting with markovian variance switching, 2024

Reference 1

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Observation 9679bbc3-f6f9-4b89-afcf-e0fa70d9089a · outbound

This paper cites an unresolved cited work.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Unresolved cited work

Reference 2

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Observation 1bd5d5d3-3c7b-4fd5-b474-8cd91c31b7e9 · outbound

This paper cites Approximate inference in state-space models with heavy-tailed noise.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Approximate inference in state-space models with heavy-tailed noise

Reference 3

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Observation 9ae93113-bd1a-42fb-8388-ad0cacd53b19 · outbound

This paper cites Bayesian online prediction of change points.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Bayesian online prediction of change points

Reference 4

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Observation 76ceb251-c765-40df-9f60-8678fbd1af2a · outbound

This paper cites Bayesian change-point detection for bandit feedback in non-stationary environments.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Bayesian change-point detection for bandit feedback in non-stationary environments

Reference 5

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Observation ccc5d721-137c-4e45-8212-b32237b6eca8 · outbound

This paper cites Restarted bayesian online change-point detector achieves optimal detection delay.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Restarted bayesian online change-point detector achieves optimal detection delay

Reference 6

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Observation cab4eb8e-364a-48f6-90da-4a1f2d7646f6 · outbound

This paper cites Concentration of tempered posteriors and of their variational approximations.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Concentration of tempered posteriors and of their variational approximations

Reference 7

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Observation 02179b4c-dd9a-4fd4-90b3-49020197fd34 · outbound

This paper cites Robust and scalable B ayesian online changepoint detection.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Robust and scalable B ayesian online changepoint detection

Reference 8

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Observation 835f2eec-336f-4662-9742-8e14acf68ac2 · outbound

This paper cites Robust and Conjugate Gaussian Process Regression.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Robust and Conjugate Gaussian Process Regression

Reference 9

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Observation a283e8a5-f80a-4cd0-a71d-ec9398d14dd2 · outbound

This paper cites Robust and scalable bayesian online changepoint detection, 2023 c.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Robust and scalable bayesian online changepoint detection, 2023 c

Reference 10

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Observation 3243351f-c928-4a66-88c0-c5ca6dbffbfa · outbound

This paper cites A survey of methods for time series change point detection.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning A survey of methods for time series change point detection

Reference 11

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Observation 0db64bc2-b13c-4bf5-afea-c13fe4aead3a · outbound

This paper cites Strategic learning and trading in broker-mediated markets, 2024.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Strategic learning and trading in broker-mediated markets, 2024

Reference 12

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Observation aaf0b15d-9283-4d2c-9683-a33d0f40025b · outbound

This paper cites Dynamic portfolio cuts: A spectral approach to graph-theoretic diversification.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Dynamic portfolio cuts: A spectral approach to graph-theoretic diversification

Reference 13

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Observation 5d3003e5-9ac1-4017-9ce3-33ff904caae8 · outbound

This paper cites Deep attentive survival analysis in limit order books: Estimating fill probabilities with convolutional-transformers.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Deep attentive survival analysis in limit order books: Estimating fill probabilities with convolutional-transformers

Reference 14

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This paper cites On vanishing gradients, over-smoothing, and over-squashing in gnns: Bridging recurrent and graph learning.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning On vanishing gradients, over-smoothing, and over-squashing in gnns: Bridging recurrent and graph learning

Reference 15

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Observation fc878e40-6166-434e-94e1-82758389fca3 · outbound

This paper cites Td convergence: An optimization perspective.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Td convergence: An optimization perspective

Reference 16

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Observation 0b1706d3-009c-4e62-abda-4dbecd8a5a75 · outbound

This paper cites On Warm-Starting Neural Network Training.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning On Warm-Starting Neural Network Training

Reference 17

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Observation 75eadce0-b9dd-46b8-bed4-dba24405a72b · outbound

This paper cites Monte carlo methods, volume 35.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Monte carlo methods, volume 35

Reference 18

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Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Barp, F.-X

Reference 19

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This paper cites Product partition models for change point problems.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Product partition models for change point problems

Reference 20

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Observation f71bae5d-eb93-4313-82c1-68c096bfc122 · outbound

This paper cites Detection of abrupt changes: theory and application, volume 104.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Detection of abrupt changes: theory and application, volume 104

Reference 21

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Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Space guidance evolution-a personal narrative

Reference 22

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Adaptive, Robust and Scalable Bayesian Filtering for Online Learning The infinite hidden markov model

Reference 23

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Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Implicit Maximum a Posteriori Filtering via Adaptive Optimization

Reference 24

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This paper cites A mean field game between informed traders and a broker.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning A mean field game between informed traders and a broker

Reference 25

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Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Bernardo and A

Reference 26

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Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Bayesian fractional posteriors

Reference 27

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Adaptive, Robust and Scalable Bayesian Filtering for Online Learning A general framework for updating belief distributions

Reference 28

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Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Weight uncertainty in neural network

Reference 29

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Observation 36a04a14-bf2f-4e33-a401-3712e03c7199 · outbound

This paper cites Generalised B ayesian filtering via sequential monte carlo.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Generalised B ayesian filtering via sequential monte carlo

Reference 30

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Adaptive, Robust and Scalable Bayesian Filtering for Online Learning JAX : composable transformations of P ython+ N um P y programs, 2018

Reference 31

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This paper cites Statistical modeling: The two cultures (with comments and a rejoinder by the author).

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Statistical modeling: The two cultures (with comments and a rejoinder by the author)

Reference 32

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Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Online continual learning with natural distribution shifts: An empirical study with visual data

Reference 33

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Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Nonlinear bayesian filtering with natural gradient gaussian approximation

Reference 34

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Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Cartea and L

Reference 35

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Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Optimal execution with stochastic delay

Reference 36

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Observation c473ec97-1c70-4e97-8a48-870e4fe6884f · outbound

This paper cites Bandits for algorithmic trading with signals.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Bandits for algorithmic trading with signals

Reference 37

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This paper cites Decentralized finance and automated market making: Predictable loss and optimal liquidity provision.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Decentralized finance and automated market making: Predictable loss and optimal liquidity provision

Reference 38

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Observation 10863d5b-4bd0-43f6-b2b3-a8b8a842a723 · outbound

This paper cites Nash Equilibrium between Brokers and Traders.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Nash Equilibrium between Brokers and Traders

Reference 39

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Observation c5a2ebb5-14e4-42f8-8658-20220908b63e · outbound

This paper cites Detecting toxic flow, 2023 b.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Detecting toxic flow, 2023 b

Reference 40

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Observation d5f50f82-72c7-4104-aaa9-cff1cf66ede3 · outbound

This paper cites A mixture-of-experts framework for adaptive kalman filtering.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning A mixture-of-experts framework for adaptive kalman filtering

Reference 41

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Observation 1074af5a-1d53-4822-b8e7-4859041b399e · outbound

This paper cites State estimation for discrete systems with switching parameters.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning State estimation for discrete systems with switching parameters

Reference 42

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Observation 0d840cd4-0ae6-42ca-a3d2-2d1465d0012e · outbound

This paper cites On diagonal approximations to the extended kalman filter for online training of bayesian neural networks.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning On diagonal approximations to the extended kalman filter for online training of bayesian neural networks

Reference 43

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Observation 2eb153f7-e0ea-463e-9fbf-39864321c1c0 · outbound

This paper cites Low-rank extended kalman filtering for online learning of neural networks from streaming data.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Low-rank extended kalman filtering for online learning of neural networks from streaming data

Reference 44

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Observation 30b84c7c-3119-441c-8ad6-241922a79933 · outbound

This paper cites S tein point m arkov chain M onte C arlo.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning S tein point m arkov chain M onte C arlo

Reference 45

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source=arxiv_source observed=2026-08-15T22:28:26.475524Z digest=sha256:d80b68697bf255d59cc03ea4f07ca9a3d34e7e22963038e24c61576e4defccd6

Observation 4e101540-0929-4260-9661-1071e120e6ea · outbound

This paper cites Autodifferentiable ensemble kalman filters.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Autodifferentiable ensemble kalman filters

Reference 46

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Observation 11610f3a-291d-41de-accf-d5ce4edcff26 · outbound

This paper cites Bayesian filtering: From kalman filters to particle filters, and beyond.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Bayesian filtering: From kalman filters to particle filters, and beyond

Reference 47

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Observation c2a4660a-a94e-4f67-9451-aa8517fb4e38 · outbound

This paper cites Inequalities of rayleigh quotients and bounds on the spectral radius of nonnegative symmetric matrices.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Inequalities of rayleigh quotients and bounds on the spectral radius of nonnegative symmetric matrices

Reference 48

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source=arxiv_source observed=2026-08-15T22:28:26.484305Z digest=sha256:02c009a550270a25ce81e955ffd492b41c0a6dc30ad25321091d96855323cbb0

Observation f948ffd5-5357-4e27-8662-3c94cbf44ec1 · outbound

This paper cites Gee, and Arnaud Doucet.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Gee, and Arnaud Doucet

Reference 49

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source=arxiv_source observed=2026-08-15T22:28:26.487793Z digest=sha256:d97a3a936e3d88f7063edf84e785178b41c11618b0add9550289441b8faed012

Observation ec3ba65c-faec-415e-8b8a-6669cea40a53 · outbound

This paper cites A S tein variational newton method.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning A S tein variational newton method

Reference 50

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source=arxiv_source observed=2026-08-15T22:28:26.491312Z digest=sha256:35a65900f6ec77d9738c258f725004a28ada6e40d926444a05fa3305427814e0

Observation cd009da8-57f4-4140-927e-be870528060e · outbound

This paper cites Robustifying likelihoods by optimistically re-weighting data.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Robustifying likelihoods by optimistically re-weighting data

Reference 51

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Observation 74f2322a-f8c7-4936-95c1-00b59519da0e · outbound

This paper cites Loss of plasticity in deep continual learning.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Loss of plasticity in deep continual learning

Reference 52

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Observation 47f27551-d558-4f51-a105-024c9e55a22d · outbound

This paper cites Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks

Reference 53

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local_arxiv, observed 2026-08-15T22:28:29.054165Z

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source=arxiv_source observed=2026-08-15T22:28:26.571069Z digest=sha256:9ea751c23988c053e8a227ecc32d81840d880e9775b04adfedcaca28d93c116b

Observation ea756edc-5246-436b-8d5d-a34063c13d57 · outbound

This paper cites A tutorial on particle filtering and smoothing: Fifteen years later.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning A tutorial on particle filtering and smoothing: Fifteen years later

Reference 54

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source=arxiv_source observed=2026-08-15T22:28:26.655491Z digest=sha256:2d391068120f3f794a349d3b8262c0da3f7d0793fc8ab718aae11875a617b373

Observation 624fc1da-aa66-4bb8-a8ce-c9fd8dd7225d · outbound

This paper cites Solvability of differential riccati equations and applications to algorithmic trading with signals.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Solvability of differential riccati equations and applications to algorithmic trading with signals

Reference 55

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source=arxiv_source observed=2026-08-15T22:28:26.702653Z digest=sha256:79e1c8d8eda1de58451790456b78ee6f519e77dfa9884c13856cfe851aa776ff

Observation 2471530d-5951-4416-8ddc-8fe794d8b053 · outbound

This paper cites Efficient online bayesian inference for neural bandits.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Efficient online bayesian inference for neural bandits

Reference 56

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source=arxiv_source observed=2026-08-15T22:28:26.708217Z digest=sha256:5eb741fa08ef6f63b3f1a47760b70d2254b90100b4c5a4afdb772e0f277724ba

Observation 3a505238-4c1d-4a53-9bf6-798c1da5a5b4 · outbound

This paper cites Shestpaloff, Leandro S \'a nchez-Betancourt, Jeremias Knoblauch, Matt Jones, Briol Fran c ois-Xavier, and Kevin P.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Shestpaloff, Leandro S \'a nchez-Betancourt, Jeremias Knoblauch, Matt Jones, Briol Fran c ois-Xavier, and Kevin P

Reference 57

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source=arxiv_source observed=2026-08-15T22:28:26.711747Z digest=sha256:f6c53869355a81367bff66e2ed384e5a5eb75b005e911eca84be8c761f350042

Observation 2e57cc63-b2f1-4b73-b59b-e4c337e7babd · outbound

This paper cites A unifying framework for generalised bayesian online learning in non-stationary environments.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning A unifying framework for generalised bayesian online learning in non-stationary environments

Reference 58

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source=arxiv_source observed=2026-08-15T22:28:26.715602Z digest=sha256:8598c3afc17a23f1db0343e2f524c4d1b93fa7e0522988dbe1249fbe8f870171

Observation 0d16c9b8-5b11-4b8b-82a2-ebef6f197d72 · outbound

This paper cites A Kalman filter primer.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning A Kalman filter primer

Reference 59

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source=arxiv_source observed=2026-08-15T22:28:26.719101Z digest=sha256:296730353a71891aa2edb68bf7f832b56fefc27aa22d5e635a3fd9e75f85182c

Observation 35270199-99e4-47eb-8404-6fbb5d165043 · outbound

This paper cites Sequential data assimilation with a nonlinear quasi-geostrophic model using monte carlo methods to forecast error statistics.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Sequential data assimilation with a nonlinear quasi-geostrophic model using monte carlo methods to forecast error statistics

Reference 60

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Observation 94ce95f0-38ec-4c6f-9f0e-1c53a88090b9 · outbound

This paper cites The ensemble kalman filter: Theoretical formulation and practical implementation.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning The ensemble kalman filter: Theoretical formulation and practical implementation

Reference 61

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Observation 99c59350-8948-4670-b027-2d9dc9ebe045 · outbound

This paper cites Day-ahead electricity demand forecasting competition: Post-covid paradigm.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Day-ahead electricity demand forecasting competition: Post-covid paradigm

Reference 62

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Observation 6aee6e50-0ce6-412c-ba77-45a528a85dec · outbound

This paper cites On-line inference for multiple changepoint problems.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning On-line inference for multiple changepoint problems

Reference 63

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Observation 95bd70d7-666d-4ff2-9a98-f486d7e101ae · outbound

This paper cites Efficient bayesian analysis of multiple changepoint models with dependence across segments.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Efficient bayesian analysis of multiple changepoint models with dependence across segments

Reference 64

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source=arxiv_source observed=2026-08-15T22:28:26.735328Z digest=sha256:975724d4e176074f8c899024b752840548d5f1f215c1003a42eb2dde42005548

Observation 30c3757e-8f5a-462c-a721-8045e0a23074 · outbound

This paper cites Changepoint detection in the presence of outliers.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Changepoint detection in the presence of outliers

Reference 65

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source=arxiv_source observed=2026-08-15T22:28:26.738953Z digest=sha256:5e2151ef1e3a22b3b2e9c233a112d6b7ffcb517510efbef39e99e1c411c30a0e

Observation 4d755c50-8e02-4030-ba36-a205acc4ec95 · outbound

This paper cites The sticky hdp-hmm: Bayesian nonparametric hidden markov models with persistent states.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning The sticky hdp-hmm: Bayesian nonparametric hidden markov models with persistent states

Reference 66

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Observation 7819cb37-ca88-472c-8e78-699c18caabc1 · outbound

This paper cites The Lottery Ticket Hypothesis: On Sparse, Trainable Neural Networks.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning The Lottery Ticket Hypothesis: On Sparse, Trainable Neural Networks

Reference 67

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Observation d75a39e6-945b-495b-a7da-07349c3d8857 · outbound

This paper cites Non-Stationary Learning of Neural Networks with Automatic Soft Parameter Reset.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Non-Stationary Learning of Neural Networks with Automatic Soft Parameter Reset

Reference 68

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source=arxiv_source observed=2026-08-15T22:28:26.932298Z digest=sha256:8964561cc31341658701f8addd2bb180f9a2cb66437cc5bc9d049ae0cee4eda7

Observation 39ca7cb0-e443-418a-a177-8b39221410a0 · outbound

This paper cites Knowledge discovery from data streams.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Knowledge discovery from data streams

Reference 69

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source=arxiv_source observed=2026-08-15T22:28:26.980463Z digest=sha256:302f0c5c27f34e5499886cb6afdcdc51fa00ffdd0ca15ab27d4f7a35b470af42

Observation 0018fe44-b694-4326-842b-644b49bee17f · outbound

This paper cites Variational learning for switching state-space models.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Variational learning for switching state-space models

Reference 70

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source=arxiv_source observed=2026-08-15T22:28:26.984020Z digest=sha256:c8f50f5cb9a777cc2320bd98ed4460841a0f1486854e317737aba56f78a52947

Observation 8d558a4c-ecc2-4eba-ba33-fa249feccb84 · outbound

This paper cites Tractable approximate gaussian inference for bayesian neural networks.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Tractable approximate gaussian inference for bayesian neural networks

Reference 71

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source=arxiv_source observed=2026-08-15T22:28:26.987161Z digest=sha256:f4cefc0a26ca43405b1c387d47bd4f7d5e9a6fa8748b087026c89e66775d9236

Observation f42e43a8-a390-4265-a9a8-50a4186bde4b · outbound

This paper cites Optimization or architecture: How to hack kalman filtering.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Optimization or architecture: How to hack kalman filtering

Reference 72

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source=arxiv_source observed=2026-08-15T22:28:26.991392Z digest=sha256:38f5d15e9275f3a94eef176fc09fb25f518b1d8bc1e328f36c929ea18ca2defe

Observation 0d0e378e-7bb8-448a-b2d9-51bc7b99bec6 · outbound

This paper cites Applications of kalman filtering in aerospace 1960 to the present [historical perspectives].

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Applications of kalman filtering in aerospace 1960 to the present [historical perspectives]

Reference 73

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source=arxiv_source observed=2026-08-15T22:28:26.995666Z digest=sha256:f662ed54e4ddf754c4a3948beadfbcb7af2b16070d55bc9789aefc2c2c36adae

Observation 3f1b4819-7bbf-42c3-ab3b-c0d202758e21 · outbound

This paper cites The safe Bayesian.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning The safe Bayesian

Reference 74

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Observation 9043f8b8-9780-4e78-8dba-cf8ddf305ae5 · outbound

This paper cites Inconsistency of B ayesian inference for misspecified linear models, and a proposal for repairing it.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Inconsistency of B ayesian inference for misspecified linear models, and a proposal for repairing it

Reference 75

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source=arxiv_source observed=2026-08-15T22:28:27.003977Z digest=sha256:9a712ffd432984e172962447de73eb02c4df2528dbbbaeac07f9b409f9db7cbd

Observation a2030096-ee3b-4a48-bcde-34afa1e21e72 · outbound

This paper cites Survey on online streaming continual learning.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Survey on online streaming continual learning

Reference 76

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Observation ce60ca88-a058-4362-8477-83c93c9cdf83 · outbound

This paper cites Comprehensive analysis of change-point dynamics detection in time series data: A review.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Comprehensive analysis of change-point dynamics detection in time series data: A review

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source=arxiv_source observed=2026-08-15T22:28:27.011533Z digest=sha256:76c4f3449c774b046e6e42189c27ae1cec864b7686080a2a05b7cfacb821405c

Observation de195532-d6b0-4e07-bb21-9211ac6241d9 · outbound

This paper cites Variational Bayesian Last Layers.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Variational Bayesian Last Layers

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source=arxiv_source observed=2026-08-15T22:28:27.015313Z digest=sha256:fe62e702ecd2a7574b8e3347e3178c632d0a8bf7f917dfc9c92f8c652cb2a8ff

Observation 24172943-e74f-4e56-b44f-5a7f3d8f8995 · outbound

This paper cites The elements of statistical learning: data mining, inference, and prediction, volume 2.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning The elements of statistical learning: data mining, inference, and prediction, volume 2

Reference 79

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Observation e113ca43-1546-415a-9320-95fd35d3e42e · outbound

This paper cites Assigning a value to a power likelihood in a general Bayesian model.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Assigning a value to a power likelihood in a general Bayesian model

Reference 80

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Observation 530b2897-25a8-49de-a7dd-42afd7065842 · outbound

This paper cites Matrix analysis.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Matrix analysis

Reference 81

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Observation ff17f977-d980-4dad-8631-8bf50e223917 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning LoRA: Low-Rank Adaptation of Large Language Models

Reference 82

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Observation cbca6641-534e-4601-bb5b-0f2ca7532e90 · outbound

This paper cites A robust G aussian approximate filter for nonlinear systems with heavy tailed measurement noises.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning A robust G aussian approximate filter for nonlinear systems with heavy tailed measurement noises

Reference 83

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Observation 8644aaae-f304-457a-a65e-2e1505c74cd5 · outbound

This paper cites Robust statistics.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Robust statistics

Reference 84

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Observation a6b24ea7-8a45-4d70-971e-bb9d0c2a8e5d · outbound

This paper cites Gradual changes versus abrupt changes.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Gradual changes versus abrupt changes

Reference 85

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Observation fd2fcffb-357f-4b32-86a0-83c781eb023e · outbound

This paper cites Improving predictions of bayesian neural nets via local linearization.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Improving predictions of bayesian neural nets via local linearization

Reference 86

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Observation 3ceb2fcf-bef0-44a6-b0db-ed7f93f50057 · outbound

This paper cites Equivalence between rls algorithms and the ridge regression technique.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Equivalence between rls algorithms and the ridge regression technique

Reference 87

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Observation 6a6ddf89-db49-4333-a5d1-e2173054f3b1 · outbound

This paper cites Bayesian Online Natural Gradient (BONG).

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Bayesian Online Natural Gradient (BONG)

Reference 88

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Observation 26ee929c-9d33-4458-bea7-9d9cd9cfeffa · outbound

This paper cites an unresolved cited work.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Unresolved cited work

Reference 89

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Observation 8a573346-bdec-4179-b50c-35417a1a7de2 · outbound

This paper cites Reducing geometric dilution of precision using ridge regression.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Reducing geometric dilution of precision using ridge regression

Reference 90

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Observation c3c0f3ff-5c96-4a5e-883c-c9c36e5ce9d5 · outbound

This paper cites Kingma and Jimmy Ba.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Kingma and Jimmy Ba

Reference 91

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Observation c95f7829-34fd-4392-9b61-0251b11d9c9f · outbound

This paper cites Spatio-temporal bayesian on-line changepoint detection with model selection.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Spatio-temporal bayesian on-line changepoint detection with model selection

Reference 92

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Observation 4e913727-6802-4336-ba10-462c7e1b9751 · outbound

This paper cites Doubly robust bayesian inference for non-stationary streaming data with -divergences.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Doubly robust bayesian inference for non-stationary streaming data with -divergences

Reference 93

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Observation cac0006a-97b0-4cbc-9efe-b0ab903e2bab · outbound

This paper cites An optimization-centric view on bayes' rule: Reviewing and generalizing variational inference.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning An optimization-centric view on bayes' rule: Reviewing and generalizing variational inference

Reference 94

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Observation c7d17e72-f105-4406-9a96-986079777e9f · outbound

This paper cites Ridge regression signal processing.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Ridge regression signal processing

Reference 95

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Observation 44c69253-c615-40c7-9ad0-95f6e093633c · outbound

This paper cites On information and sufficiency.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning On information and sufficiency

Reference 96

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Observation f9dfc766-0724-444f-b4d9-7760a2e310cf · outbound

This paper cites Continual learning with bayesian neural networks for non-stationary data.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Continual learning with bayesian neural networks for non-stationary data

Reference 97

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Observation 6f4fb8ef-3e14-4875-82e8-6a72b5f995a4 · outbound

This paper cites The recursive variational gaussian approximation (r-vga).

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning The recursive variational gaussian approximation (r-vga)

Reference 98

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Observation 598c1429-8ddb-4d69-9c5b-8c8c0a62753d · outbound

This paper cites The limited-memory recursive variational gaussian approximation (l-rvga).

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning The limited-memory recursive variational gaussian approximation (l-rvga)

Reference 99

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Observation 674fd6f2-b8d3-4dcb-aeb6-5a5ee9f13b12 · outbound

This paper cites Larsen, Stanislav Fort, Nic Becker, and Surya Ganguli.

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning Larsen, Stanislav Fort, Nic Becker, and Surya Ganguli

Reference 100

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