Probability

The Planted Spanning Tree Problems: Exact Overlap Characterization via Local Weak Convergence Extended Abstract COLT 2025 The Role of Randomness in Stability ICML 2025 The Uniformly Rotated Mondrian Kernel AISTATS 2025 Tight Bounds for Noisy Computation of High-Influence Functions, Connectivity, and Threshold COLT 2025 Truthfulness of Decision-Theoretic Calibration Measures COLT 2025 Unbalanced Kantorovich-Rubinstein distance, plan, and barycenter on nite spaces: A statistical perspective JMLR 2025 Understanding the difficulties of posterior predictive estimation ICML 2025 Uniform Mean Estimation for Heavy-Tailed Distributions via Median-of-Means ICML 2025 Universality of Kernel Random Matrices and Kernel Regression in the Quadratic Regime JMLR 2025 Variance-Aware Estimation of Kernel Mean Embedding JMLR 2025 Variational Phylogenetic Inference with Products over Bipartitions ICML 2025 Wasserstein F-tests for Frechet regression on Bures-Wasserstein manifolds JMLR 2025 When and why randomised exploration works (in linear bandits) ALT 2025 Zero-Inflated Bandits ICML 2025 VITS : Variational Inference Thompson Sampling for contextual bandits ICML 2024 3D Gaussian Splatting as Markov Chain Monte Carlo NeurIPS 2024 Acceleration and Implicit Regularization in Gaussian Phase Retrieval AISTATS 2024 Active Ranking and Matchmaking, with Perfect Matchings ICML 2024 Adjust Pearson's r to Measure Arbitrary Monotone Dependence NeurIPS 2024 A General Framework for the Analysis of Kernel-based Tests JMLR 2024 Algorithmic Stability Unleashed: Generalization Bounds with Unbounded Losses ICML 2024 Almost Free: Self-concordance in Natural Exponential Families and an Application to Bandits NeurIPS 2024 Alpha Invariance: On Inverse Scaling Between Distance and Volume Density in Neural Radiance Fields CVPR 2024 Analytically deriving Partial Information Decomposition for affine systems of stable and convolution-closed distributions NeurIPS 2024 An Analysis of Elo Rating Systems via Markov Chains NeurIPS 2024