Probability

Leveraging probabilistic circuits for nonparametric multi-output regression UAI 2021 Light RUMs ICML 2021 Linearly Constrained Gaussian Processes with Boundary Conditions AISTATS 2021 Low-Rank Sinkhorn Factorization ICML 2021 Mirrorless Mirror Descent: A Natural Derivation of Mirror Descent AISTATS 2021 Near-Optimal Confidence Sequences for Bounded Random Variables ICML 2021 Non-asymptotic convergence bounds for Wasserstein approximation using point clouds NeurIPS 2021 Nonparametric estimation of continuous DPPs with kernel methods NeurIPS 2021 Non-uniform Consistency of Online Learning with Random Sampling ALT 2021 On Robust Optimal Transport: Computational Complexity and Barycenter Computation NeurIPS 2021 On Solving Probabilistic Linear Diophantine Equations JMLR 2021 On the Convergence of Langevin Monte Carlo: The Interplay between Tail Growth and Smoothness COLT 2021 On the difficulty of unbiased alpha divergence minimization ICML 2021 On the Optimality of Kernel-Embedding Based Goodness-of-Fit Tests JMLR 2021 Optimal Bounds between f-Divergences and Integral Probability Metrics JMLR 2021 Optimal dimension dependence of the Metropolis-Adjusted Langevin Algorithm COLT 2021 Optimal Quantisation of Probability Measures Using Maximum Mean Discrepancy AISTATS 2021 Optimal Rates for Nonparametric Density Estimation under Communication Constraints NeurIPS 2021 Parametric Distributions to Model Numerical Emotion Labels Interspeech 2021 PCFGs Can Do Better: Inducing Probabilistic Context-Free Grammars with Many Symbols NAACL 2021 Permuton-induced Chinese Restaurant Process NeurIPS 2021 Privately Learning Mixtures of Axis-Aligned Gaussians NeurIPS 2021 Probabilistic Iterative Methods for Linear Systems JMLR 2021 PSD Representations for Effective Probability Models NeurIPS 2021 Quantum Tensor Networks, Stochastic Processes, and Weighted Automata AISTATS 2021