Probability

Mirror and Preconditioned Gradient Descent in Wasserstein Space NeurIPS 2024 Multi-objective Optimization via Wasserstein-Fisher-Rao Gradient Flow AISTATS 2024 Multivariate Stochastic Dominance via Optimal Transport and Applications to Models Benchmarking NeurIPS 2024 Negative-Binomial Randomized Gamma Dynamical Systems for Heterogeneous Overdispersed Count Time Sequences IJCAI 2024 New Sample Complexity Bounds for Sample Average Approximation in Heavy-Tailed Stochastic Programming ICML 2024 Noise-Adaptive Confidence Sets for Linear Bandits and Application to Bayesian Optimization ICML 2024 Non-geodesically-convex optimization in the Wasserstein space NeurIPS 2024 Non-Oblivious Performance of Random Projections ACML 2024 Non-parametric classification via expand-and-sparsify representation NeurIPS 2024 Objects as Volumes: A Stochastic Geometry View of Opaque Solids CVPR 2024 On cyclical MCMC sampling AISTATS 2024 Online multiple testing with e-values AISTATS 2024 Online non-parametric likelihood-ratio estimation by Pearson-divergence functional minimization AISTATS 2024 Online Sampling and Decision Making with Low Entropy IJCAI 2024 Online Variational Sequential Monte Carlo ICML 2024 On Ranking-based Tests of Independence AISTATS 2024 On Statistical Learning Theory for Distributional Inputs ICML 2024 On the Consistency of Kernel Methods with Dependent Observations ICML 2024 On the estimation of persistence intensity functions and linear representations of persistence diagrams AISTATS 2024 On the Expected Size of Conformal Prediction Sets AISTATS 2024 On the Expressive Power of Tree-Structured Probabilistic Circuits NeurIPS 2024 On the Optimality of Gaussian Kernel Based Nonparametric Tests against Smooth Alternatives JMLR 2024 On the Unlikelihood of D-Separation PGM 2024 On Unbiased Estimation for Partially Observed Diffusions JMLR 2024 Open problem: Convergence of single-timescale mean-field Langevin descent-ascent for two-player zero-sum games COLT 2024