Probability

Thinned random measures for sparse graphs with overlapping communities NeurIPS 2022 Towards a Theory of Non-Log-Concave Sampling:First-Order Stationarity Guarantees for Langevin Monte Carlo COLT 2022 Towards Optimal Algorithms for Multi-Player Bandits without Collision Sensing Information COLT 2022 Trajectory of Mini-Batch Momentum: Batch Size Saturation and Convergence in High Dimensions NeurIPS 2022 Triangular Flows for Generative Modeling: Statistical Consistency, Smoothness Classes, and Fast Rates AISTATS 2022 Trustworthy Monte Carlo NeurIPS 2022 Two-Sample Testing on Ranked Preference Data and the Role of Modeling Assumptions JMLR 2022 Using Conditional Independence for Belief Revision AAAI 2022 Using hierarchies to efficiently combine evidence with Dempster’s rule of combination UAI 2022 Actively Identifying Causal Effects with Latent Variables Given Only Response Variable Observable NeurIPS 2021 Active Slices for Sliced Stein Discrepancy ICML 2021 Adaptive Sampling for Estimating Distributions: A Bayesian Upper Confidence Bound Approach L4DC 2021 A Fast Globally Linearly Convergent Algorithm for the Computation of Wasserstein Barycenters JMLR 2021 A Kernel-based Test of Independence for Cluster-correlated Data NeurIPS 2021 A Lyapunov Analysis of Accelerated Methods in Optimization JMLR 2021 An Adaptive-MCMC Scheme for Setting Trajectory Lengths in Hamiltonian Monte Carlo AISTATS 2021 Analysis of stochastic Lanczos quadrature for spectrum approximation ICML 2021 An analysis of Ermakov-Zolotukhin quadrature using kernels NeurIPS 2021 A novel notion of barycenter for probability distributions based on optimal weak mass transport NeurIPS 2021 A Nullspace Property for Subspace-Preserving Recovery ICML 2021 A Spectral Analysis of Dot-product Kernels AISTATS 2021 A Stein Goodness-of-test for Exponential Random Graph Models AISTATS 2021 Asymptotic Normality, Concentration, and Coverage of Generalized Posteriors JMLR 2021 Average-Case Communication Complexity of Statistical Problems COLT 2021 Averaging on the Bures-Wasserstein manifold: dimension-free convergence of gradient descent NeurIPS 2021