Probability
617 papers (98 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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Papers (including subtopics)
A Measure-Theoretic Axiomatisation of Causality
NeurIPS 2023
A Measure-Theoretic Characterization of Tight Language Models
ACL 2023
Are Gaussian Data All You Need? The Extents and Limits of Universality in High-Dimensional Generalized Linear Estimation
ICML 2023
A Tale of Sampling and Estimation in Discounted Reinforcement Learning
AISTATS 2023
Concentration analysis of multivariate elliptic diffusions
JMLR 2023
Contextual Stochastic Block Model: Sharp Thresholds and Contiguity
JMLR 2023
Data-Driven Invariant Learning for Probabilistic Programs (Extended Abstract)
IJCAI 2023
Deep Latent Regularity Network for Modeling Stochastic Partial Differential Equations
AAAI 2023
Differentially Private Hypothesis Testing for Linear Regression
JMLR 2023
Discrete Langevin Samplers via Wasserstein Gradient Flow
AISTATS 2023
Distribution-dependent McDiarmid-type Inequalities for Functions of Unbounded Interaction
ICML 2023
Doubly Robust Stein-Kernelized Monte Carlo Estimator: Simultaneous Bias-Variance Reduction and Supercanonical Convergence
JMLR 2023
Efficient Informed Proposals for Discrete Distributions via Newton’s Series Approximation
AISTATS 2023
Efficient Sampling of Stochastic Differential Equations with Positive Semi-Definite Models
NeurIPS 2023
Fast Computation of Branching Process Transition Probabilities via ADMM
AISTATS 2023
FLIP: A Utility Preserving Privacy Mechanism for Time Series
JMLR 2023
Gaussian processes at the Helm(holtz): A more fluid model for ocean currents
ICML 2023
Gibbsian Polar Slice Sampling
ICML 2023
Huber-robust confidence sequences
AISTATS 2023
Image Restoration with Mean-Reverting Stochastic Differential Equations
ICML 2023
Infinite-dimensional optimization and Bayesian nonparametric learning of stochastic differential equations
JMLR 2023
Initialization Noise in Image Gradients and Saliency Maps
CVPR 2023
Instrumental Processes Using Integrated Covariances
CLeaR 2023
Intrinsic Sliced Wasserstein Distances for Comparing Collections of Probability Distributions on Manifolds and Graphs
ICML 2023
Learning Mixtures of Markov Chains and MDPs
ICML 2023