Probability

Multistate analysis with infinite mixtures of Markov chains UAI 2022 Near-Isometric Properties of Kronecker-Structured Random Tensor Embeddings NeurIPS 2022 Nearly-Tight Bounds for Testing Histogram Distributions NeurIPS 2022 Nearly Tight Convergence Bounds for Semi-discrete Entropic Optimal Transport AISTATS 2022 Neural Tangent Kernel Beyond the Infinite-Width Limit: Effects of Depth and Initialization ICML 2022 Non-Gaussian Component Analysis via Lattice Basis Reduction COLT 2022 Offline change detection under contamination UAI 2022 On A Mallows-type Model For (Ranked) Choices NeurIPS 2022 On early extinction and the effect of travelling in the SIR model UAI 2022 On Linear Model with Markov Signal Priors AISTATS 2022 On perfectness in Gaussian graphical models AISTATS 2022 On the Efficiency of Entropic Regularized Algorithms for Optimal Transport JMLR 2022 On the Efficient Implementation of High Accuracy Optimality of Profile Maximum Likelihood NeurIPS 2022 On The Memory Complexity of Uniformity Testing COLT 2022 On the rank of 2×2×2 probability tables PGM 2022 Optimal Accounting of Differential Privacy via Characteristic Function AISTATS 2022 Optimal Efficiency-Envy Trade-Off via Optimal Transport NeurIPS 2022 Optimal Mean Estimation without a Variance COLT 2022 Orbital MCMC AISTATS 2022 Overparameterization from Computational Constraints NeurIPS 2022 Positively Weighted Kernel Quadrature via Subsampling NeurIPS 2022 Power Iteration for Tensor PCA JMLR 2022 Precise Learning Curves and Higher-Order Scalings for Dot-product Kernel Regression NeurIPS 2022 Privacy of Noisy Stochastic Gradient Descent: More Iterations without More Privacy Loss NeurIPS 2022 Projected Statistical Methods for Distributional Data on the Real Line with the Wasserstein Metric JMLR 2022