Probability

Maximal Initial Learning Rates in Deep ReLU Networks ICML 2023 Max Markov Chain IJCAI 2023 Measuring a Priori Voting Power in Liquid Democracy IJCAI 2023 Metrizing Weak Convergence with Maximum Mean Discrepancies JMLR 2023 Microcanonical Hamiltonian Monte Carlo JMLR 2023 Minimax estimation of discontinuous optimal transport maps: The semi-discrete case ICML 2023 Minimax-Optimal Location Estimation NeurIPS 2023 MMD-Fuse: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting NeurIPS 2023 Moments, Random Walks, and Limits for Spectrum Approximation COLT 2023 Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse Maps ICML 2023 Near-optimal fitting of ellipsoids to random points COLT 2023 Non-asymptotic convergence bounds for Sinkhorn iterates and their gradients: a coupling approach. COLT 2023 On a Class of Gibbs Sampling over Networks COLT 2023 On Approximating Total Variation Distance IJCAI 2023 On the Estimation of Gaussian Mixture Copula Models ICML 2023 On the Optimality of Misspecified Kernel Ridge Regression ICML 2023 On The Relative Error of Random Fourier Features for Preserving Kernel Distance ICLR 2023 Optimality in Mean Estimation: Beyond Worst-Case, Beyond Sub-Gaussian, and Beyond 1+α Moments NeurIPS 2023 Optimal randomized multilevel Monte Carlo for repeatedly nested expectations ICML 2023 Overparameterized Random Feature Regression with Nearly Orthogonal Data AISTATS 2023 Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model NeurIPS 2023 Private Statistical Estimation of Many Quantiles ICML 2023 Properties of Position Matrices and Their Elections AAAI 2023 Quantum Channel Certification with Incoherent Measurements COLT 2023 Quantum-Inspired Representation for Long-Tail Senses of Word Sense Disambiguation AAAI 2023