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Paper Citation Record · LEDGER

Adaptive, Robust and Scalable Bayesian Filtering for Online Learning

As of 21 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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One-hop event checks from named stored sources.

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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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Observation 39b29aee-6389-473d-a294-67dd7b921653 · outbound

This paper cites Barp, F.-X.

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

Reference 19

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Observation cf531109-125e-4835-823d-f8bc3719b045 · outbound

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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This paper cites Implicit Maximum a Posteriori Filtering via Adaptive Optimization.

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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This paper cites JAX : composable transformations of P ython+ N um P y programs, 2018.

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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This paper cites Online continual learning with natural distribution shifts: An empirical study with visual data.

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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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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Observation 8bbd16be-29cf-4e7f-9cef-90ed20a87150 · outbound

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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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=sha256:7ae2f57d296dbd453a92f09a76dcbdd886070140685e097f0bdedac6d8a2966e

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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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=sha256:7e033c171925eb374748cce40efd97020dad7ed7402ab5945e33f7b1b3ea6474

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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source=arxiv_source observed=2026-08-15T22:28:26.494435Z digest=sha256:81ae20023fec34244e417e3a50129e35abd4464247e87ae1c9464ceb57f685cc

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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source=arxiv_source observed=2026-08-15T22:28:26.498415Z digest=sha256:c2d8c46b8c0ba6619179f413558ac18952d0419a69ff093f12dff73d5c0dd170

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

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source=arxiv_source observed=2026-08-15T22:28:26.571069Z digest=sha256:6ffb805e9a2f2ae54607ba0903cbbf48a33214fd346c4fb132e4d02ffdf2f8ba

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:e25209fbbbc7ae56582430ea9b7fb9fcd19a8e6c9ce62cafc1e2d6c047203ee6

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=sha256:7c40dd0ff9996c0062ca525079613c563a0864115800b589938ed45438e562f7

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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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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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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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:c90af733902d9bab82ff99301b60dc3eeb1c72cbecf29af7584f8d84a97ae084

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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source=arxiv_source observed=2026-08-15T22:28:26.722800Z digest=sha256:7d681e2ffc2e72e76e2ad8b2312e8e0d86ca83d99076f4e5609483b56e27cd45

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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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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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

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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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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=sha256:7881e2044e384594b6abdb92faf760ee322fe5405328b33585f5196002b07fd8

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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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=sha256:1fe2bab6f19a5cc5ad4194ee16da6f9cd1c26bb8568b07d339352ccbe9a6544e

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:d4ff63f11b4b3b91234c16c56614d29ff279d697e518e0235eff35a4319820db

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]

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source=arxiv_source observed=2026-08-15T22:28:26.995666Z digest=sha256:6da74781219ddc1afa9e7c7153049fb8c49fec5af91ee3dd4fec8e2cf8fe123e

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:afac726d8dae2341c9713ffdcd6d017efffa7f21db7612f8ae2565f32c0ad792

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

Reference 77

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source=arxiv_source observed=2026-08-15T22:28:27.011533Z digest=sha256:539f7f333b222445935a15ca6e8024652e11e8e5881d4af2a3af611a7375230d

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

Reference 78

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source=arxiv_source observed=2026-08-15T22:28:27.015313Z digest=sha256:2a43c5677814e17d43a96ea72b139d3f691ba5a4bc1de03a585bdf7f060d2cb1

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

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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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This paper cites Matrix analysis.

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

Reference 81

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

Reference 84

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

Reference 89

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

Reference 91

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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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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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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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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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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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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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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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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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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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