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Probability

1043 directly classified papers

Papers per year

Papers

A Permutation-Free Kernel Independence Test JMLR 2023
A Measure-Theoretic Axiomatisation of Causality NIPS 2023
Local Message Passing on Frustrated Systems UAI 2023
The Brier Score under Administrative Censoring: Problems and a Solution JMLR 2023
K-Nearest-Neighbor Local Sampling Based Conditional Independence Testing NIPS 2023
Sharp Spectral Rates for Koopman Operator Learning NIPS 2023
Dimension-Grouped Mixed Membership Models for Multivariate Categorical Data JMLR 2023
Maximal Initial Learning Rates in Deep ReLU Networks ICML 2023
Distribution-dependent McDiarmid-type Inequalities for Functions of Unbounded Interaction ICML 2023
Robust Mean Estimation Without Moments for Symmetric Distributions NIPS 2023
Computing Wasserstein-p Distance Between Images With Linear Cost CVPR 2022
Nearly-Tight Bounds for Testing Histogram Distributions NIPS 2022
Continuously Tempered PDMP samplers NIPS 2022
Sampling with Riemannian Hamiltonian Monte Carlo in a Constrained Space NIPS 2022
Beyond black box densities: Parameter learning for the deviated components NIPS 2022
Log-Concave and Multivariate Canonical Noise Distributions for Differential Privacy NIPS 2022
A Random Matrix Perspective on Mixtures of Nonlinearities in High Dimensions AISTATS 2022
Thinned random measures for sparse graphs with overlapping communities NIPS 2022
On early extinction and the effect of travelling in the SIR model UAI 2022
Data-Driven Chance Constrained Control using Kernel Distribution Embeddings L4DC 2022
Sharp Constants in Uniformity Testing via the Huber Statistic COLT 2022
Non-Gaussian Component Analysis via Lattice Basis Reduction COLT 2022
Sobolev Transport: A Scalable Metric for Probability Measures with Graph Metrics AISTATS 2022
Hidden 1-Counter Markov Models and How to Learn Them IJCAI 2022
Learning and Covering Sums of Independent Random Variables with Unbounded Support NIPS 2022