Probability

Quasi-Monte Carlo Quasi-Newton in Variational Bayes JMLR 2021 Random Coordinate Langevin Monte Carlo COLT 2021 Random Graph Matching with Improved Noise Robustness COLT 2021 Rate-Optimal Subspace Estimation on Random Graphs NeurIPS 2021 Recursive Bayesian Networks: Generalising and Unifying Probabilistic Context-Free Grammars and Dynamic Bayesian Networks NeurIPS 2021 Regret Minimization in Heavy-Tailed Bandits COLT 2021 Robust Density Estimation from Batches: The Best Things in Life are (Nearly) Free ICML 2021 Scaling up Continuous-Time Markov Chains Helps Resolve Underspecification NeurIPS 2021 Smooth p-Wasserstein Distance: Structure, Empirical Approximation, and Statistical Applications ICML 2021 Spectral Planting and the Hardness of Refuting Cuts, Colorability, and Communities in Random Graphs COLT 2021 Statistical Estimation from Dependent Data ICML 2021 Statistical Query Algorithms and Low Degree Tests Are Almost Equivalent COLT 2021 Structured Logconcave Sampling with a Restricted Gaussian Oracle COLT 2021 Symbol Grounding and Task Learning from Imperfect Corrections ACL 2021 Testing Conditional Independence via Quantile Regression Based Partial Copulas JMLR 2021 Testing Probabilistic Circuits NeurIPS 2021 The Base Measure Problem and its Solution AISTATS 2021 The Hardness Analysis of Thompson Sampling for Combinatorial Semi-bandits with Greedy Oracle NeurIPS 2021 The LF Model in the Frequency Domain for Glottal Airflow Modelling Without Aliasing Distortion Interspeech 2021 The Many Faces of Adversarial Risk NeurIPS 2021 Tighter Expected Generalization Error Bounds via Wasserstein Distance NeurIPS 2021 Tight sampling and discarding bounds for scenario programs with an arbitrary number of removed samples L4DC 2021 Tractable computation of expected kernels UAI 2021 Uniform Concentration Bounds toward a Unified Framework for Robust Clustering NeurIPS 2021 Uniform Convergence of Interpolators: Gaussian Width, Norm Bounds and Benign Overfitting NeurIPS 2021