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Every paper Pith has read. Search by title, abstract, or pith.
1657 papers in math.PR · page 6
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Banach space is UMD iff tangent processes obey tail bound
Characterizations of the UMD property via tail estimates for tangent processes
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New Rao-Blackwellization cuts variance in MCMC light transport
Rao-Blackwellized Markov chain Monte Carlo Light Transport
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CTEM recovers log-densities from samples with constant target 1
Constant-Target Energy Matching: A Unified Framework for Continuous and Discrete Density Estimation
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Self-normalized linear processes converge in M2 topology
A functional limit theorem for self-normalized linear processes with random coefficients and i.i.d. heavy-tailed innovations
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Karhunen-Loève series uses covariance eigenfunctions for optimal random field series
A Primer on the Karhunen-Lo\`eve Expansion
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Diffusion dynamics make MCMC light transport run in real time
Diffusion Restore: Real-Time Markov Chain Monte Carlo Light Transport
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Diffusion Restore makes MCMC light transport real-time
Diffusion Restore: Real-Time Markov Chain Monte Carlo Light Transport
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Diffusion Restore achieves real-time MCMC light transport
Diffusion Restore: Real-Time Markov Chain Monte Carlo Light Transport
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Rough paths solve signature and Schwinger-Dyson kernel equations
Signature Kernel and Schwinger-Dyson Kernel Equations as Two-Parameter Rough Differential Equations
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Averaging time scales as n to the power max(3-p
Edge-averaging dynamics on finite graphs: moment dependence
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Canonical diffusion isolates mode barriers from samples and scores
Measuring and Decomposing Mode Separation via the Canonical Diffusion
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Error bounds proven for normal counts of isolated edges in fixed-degree graphs
Normal approximation of the numbers of isolated edges and isolated 2-stars in uniform simple graphs with given vertex degrees
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Normal approximation holds for isolated edges and 2-stars in fixed-degree graphs
Normal approximation of the numbers of isolated edges and isolated 2-stars in uniform simple graphs with given vertex degrees
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Estimators achieve minimax optimal rates for unbalanced transport-growth pairs
Minimax Optimal Estimation of Transport-Growth Pairs in Unbalanced Optimal Transport
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Maki-Thompson model obeys moderate deviation principle
Moderate deviations for the Maki--Thompson rumour model
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Binary tree martingale makes Cusick conjecture a special case
On the sum-of-digits measures and Cusick's conjecture via stopped random walks
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Martingale on binary trees frames Cusick conjecture as special case
On the sum-of-digits measures and Cusick's conjecture via stopped random walks
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Attention selectivity emerges at scale n^{2/(d-1)}
Scaling Limits of Long-Context Transformers
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Wasserstein flow matching extends to measures over measures
Generalized Wasserstein Flow Matching: Transport Plans, Everywhere, All at Once
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Newton method converges exponentially for infinite-width neural nets
Convergence Analysis of Newton's Method for Neural Networks in the Overparameterized Limit
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Newton method reaches zero loss exponentially fast in wide neural nets
Convergence Analysis of Newton's Method for Neural Networks in the Overparameterized Limit
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Bursting gene networks reach unique equilibria with explicit rates
Quantitative ergodicity for gene regulatory networks with transcriptional bursting
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Biased Ising spins reach plus phase rapidly at low temperature
Rapid phase ordering of Ising dynamics on $\mathbb Z^2$
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SGD provably trains attention and LoRA with no data or size assumptions
Convergent Stochastic Training of Attention and Understanding LoRA
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Connected graphs with fixed degrees counted up to exponential order
The number and structure of connected graphs with a fixed degree sequence
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Primitive sequences uniquely represent measures on compact intervals
Primitive Sequences for Probability Measures on Compact Intervals
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Bismut-Elworthy formula works with degenerate noise
A Bismut-Elworthy formula for BSDEs with degenerate noise
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Optimal cutoffs minimize weighted risk in skew-normal biomarker models
Parametric ROC Analysis and Optimal Cutoff Selection under Scale Mixtures of Skew-Normal Distributions: A Decision-Theoretic Framework with Asymptotic Inference
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Branching from negative potentials tames Feynman-Kac kernels
Tamed Feynman-Kac diffusion processes: Killing-branching intertwine
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Second eigenvalue nonnegative in 4x4 tridiagonal stochastic matrices
Nonnegativity of the second largest eigenvalue of $4 \times 4$ tridiagonal stochastic matrices
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Additive decomposition gives Besov-Orlicz path regularity
On the Besov-Orlicz path regularity of some Gaussian processes
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Super-Poincaré inequality equivalent to log-Sobolev forms
A note on the equivalence of super-Poincar\'e inequality
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Stochastic approximation process satisfies moderate deviation principle
Moderate Deviation Principle for a Stochastic Approximation Process
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Adele random walks converge to Lévy processes under scaling
A Scaling Limit of Random Walks in the Rational Adeles
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Large deviations and central limits hold for noisy multivalued SDEs
Small noise asymptotic behaviors for path-dependent multivalued McKean-Vlasov stochastic differential equations
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Growing batches let SGD converge at fixed step size under infinite variance
Convergence of Stochastic Gradient Descent with mini-batching and infinite variance
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Modified ruin probability matches classical one under heavy tails
Modified ruin probability for a Cram\'er-Lundberg model driven by a compound mixed Poisson process
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Fluctuations in SK and Wigner models converge to Gaussians
Universality of the fluctuations of the free energy in generalized Sherrington-Kirkpatrick models and the log likelihood ratio in spiked Wigner models
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Free-energy fluctuations in SK models converge to universal Gaussians
Universality of the fluctuations of the free energy in generalized Sherrington-Kirkpatrick models and the log likelihood ratio in spiked Wigner models
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Change of measure theorem holds for Brownian-time processes
Brownian-time Change of measure
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Monotonic concave functions bound multiplayer game decay under repetition
Multiplayer parallel repetition without dependency-breaking and anchoring variables: monotonic, concave amplification
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Precise asymptotics for expected draws in group coupon collection
Asymptotic Results for Uniform Group Drawing in the Coupon Collector's Problem
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Activated random walks on villages obey law of large numbers
Law of large numbers for activated random walk on villages
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Quota violation probabilities stabilize in divisor methods
Probability of Quota Violations in Divisor Apportionment Methods with Nonzero Allocations
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Barycenters preserve absolute continuity on manifolds
Absolute continuity of generalized Wasserstein barycenters of finitely many measures
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Random walk mixes in log time on fast dynamical random-cluster graphs
Logarithmic Mixing of Random Walks on Dynamical Random Cluster Models
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Lévy-Khintchine drift swaps branching and interaction via Laplace duality
Continuous-state branching processes with L\'evy-Khintchine drift-interaction: Laplace duality and Fellerian extensions
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Lévy-Khintchine drift swaps branching and interaction via Laplace duality
Continuous-state branching processes with L\'evy-Khintchine drift-interaction: Laplace duality and Fellerian extensions
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Leap generators give near-uniform exact-size sampling for compositions
Leap generators for composition schemes
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GL_N(C) Brownian singular values scale to infinite SDE system and SPDE
$\mathsf{GL}_N(\mathbb{C})$ Brownian motion and stochastic PDE on entire functions