Probability

Proportional allocation of indivisible resources under ordinal and uncertain preferences. UAI 2022 Random matrices in service of ML footprint: ternary random features with no performance loss ICLR 2022 Rate of Convergence of Polynomial Networks to Gaussian Processes COLT 2022 Registration of Human Point Set Using Automatic Key Point Detection and Region-Aware Features WACV 2022 Rejection sampling from shape-constrained distributions in sublinear time AISTATS 2022 Representing Spatial Trajectories as Distributions NeurIPS 2022 RKHS-SHAP: Shapley Values for Kernel Methods NeurIPS 2022 Robust Estimation for Random Graphs COLT 2022 Sampling with Riemannian Hamiltonian Monte Carlo in a Constrained Space NeurIPS 2022 Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes ICML 2022 Self-Consistency of the Fokker Planck Equation COLT 2022 Sharp Constants in Uniformity Testing via the Huber Statistic COLT 2022 Signature Moments to Characterize Laws of Stochastic Processes JMLR 2022 Sobolev Transport: A Scalable Metric for Probability Measures with Graph Metrics AISTATS 2022 Split-kl and PAC-Bayes-split-kl Inequalities for Ternary Random Variables NeurIPS 2022 Statistical and Computational Phase Transitions in Group Testing COLT 2022 Statistical Depth Functions for Ranking Distributions: Definitions, Statistical Learning and Applications AISTATS 2022 Statistical Learning and Inverse Problems: A Stochastic Gradient Approach NeurIPS 2022 Strong Gaussian Approximation for the Sum of Random Vectors COLT 2022 Subspace clustering in high-dimensions: Phase transitions & Statistical-to-Computational gap NeurIPS 2022 The Dynamics of Riemannian Robbins-Monro Algorithms COLT 2022 The Neural Covariance SDE: Shaped Infinite Depth-and-Width Networks at Initialization NeurIPS 2022 The Price of Tolerance in Distribution Testing COLT 2022 The query complexity of sampling from strongly log-concave distributions in one dimension COLT 2022 The Semi-random Likelihood of Doctrinal Paradoxes AAAI 2022