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Probability

1043 directly classified papers

Papers per year

Papers

On Ranking-based Tests of Independence AISTATS 2024
Online multiple testing with e-values AISTATS 2024
Multi-objective Optimization via Wasserstein-Fisher-Rao Gradient Flow AISTATS 2024
Fast Minimization of Expected Logarithmic Loss via Stochastic Dual Averaging AISTATS 2024
Data-Driven Confidence Intervals with Optimal Rates for the Mean of Heavy-Tailed Distributions AISTATS 2024
On cyclical MCMC sampling AISTATS 2024
Negative-Binomial Randomized Gamma Dynamical Systems for Heterogeneous Overdispersed Count Time Sequences IJCAI 2024
Sinkhorn Flow as Mirror Flow: A Continuous-Time Framework for Generalizing the Sinkhorn Algorithm AISTATS 2024
The Relative Gaussian Mechanism and its Application to Private Gradient Descent AISTATS 2024
The Moderating Effect of Instant Runoff Voting AAAI 2024
Fast 1-Wasserstein distance approximations using greedy strategies AISTATS 2024
Structural perspective on constraint-based learning of Markov networks AISTATS 2024
On Unbiased Estimation for Partially Observed Diffusions JMLR 2024
Combinatorial Stochastic-Greedy Bandit AAAI 2024
A Specialized Semismooth Newton Method for Kernel-Based Optimal Transport AISTATS 2024
Online non-parametric likelihood-ratio estimation by Pearson-divergence functional minimization AISTATS 2024
On the Expected Size of Conformal Prediction Sets AISTATS 2024
Backward Filtering Forward Deciding in Linear Non-Gaussian State Space Models AISTATS 2024
Proving Linear Mode Connectivity of Neural Networks via Optimal Transport AISTATS 2024
Pareto Smoothed Importance Sampling JMLR 2024
Experimental evaluation of MOS, AB and BWS listening test designs INTERSPEECH 2024
Learning Representations on the Unit Sphere: Investigating Angular Gaussian and Von Mises-Fisher Distributions for Online Continual Learning AAAI 2024
On the Optimality of Gaussian Kernel Based Nonparametric Tests against Smooth Alternatives JMLR 2024
Differentially Private Set Representations NIPS 2024
Validating Climate Models with Spherical Convolutional Wasserstein Distance NIPS 2024