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Probability

1,250 papers

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Papers

Time-uniform confidence bands for the CDF under nonstationarity NeurIPS 2023 Tokenization and the Noiseless Channel ACL 2023 Toward L_∞Recovery of Nonlinear Functions: A Polynomial Sample Complexity Bound for Gaussian Random Fields COLT 2023 Towards a Complete Analysis of Langevin Monte Carlo: Beyond Poincaré Inequality COLT 2023 Towards Empirical Process Theory for Vector-Valued Functions: Metric Entropy of Smooth Function Classes ALT 2023 Towards Scalable Coverage-Based Testing of Autonomous Vehicles CoRL 2023 Tree-AMP: Compositional Inference with Tree Approximate Message Passing JMLR 2023 Tricking the Hashing Trick: A Tight Lower Bound on the Robustness of CountSketch to Adaptive Inputs AAAI 2023 Two Sample Testing in High Dimension via Maximum Mean Discrepancy JMLR 2023 Universal Bias Reduction in Estimation of Smooth Additive Function in High Dimensions ALT 2023 Variational Wasserstein Barycenters with C-cyclical Monotonicity Regularization AAAI 2023 Wasserstein-Fisher-Rao Embedding: Logical Query Embeddings with Local Comparison and Global Transport ACL 2023 Weitzman's Rule for Pandora's Box with Correlations NeurIPS 2023 Why Rumors Spread Fast in Social Networks, and How to Stop It IJCAI 2023 Abstract Argumentation Frameworks with Marginal Probabilities IJCAI 2022 Adaptation of the Independent Metropolis-Hastings Sampler with Normalizing Flow Proposals AISTATS 2022 A Fourier Approach to Mixture Learning NeurIPS 2022 Analysis of Langevin Monte Carlo from Poincare to Log-Sobolev COLT 2022 A new similarity measure for covariate shift with applications to nonparametric regression ICML 2022 A Private and Computationally-Efficient Estimator for Unbounded Gaussians COLT 2022 A Random Matrix Perspective on Mixtures of Nonlinearities in High Dimensions AISTATS 2022 A Random Matrix Perspective on Random Tensors JMLR 2022 Asymptotics of smoothed Wasserstein distances in the small noise regime NeurIPS 2022 A Theoretical Perspective on Hyperdimensional Computing (Extended Abstract) IJCAI 2022 A Wasserstein Distance Approach for Concentration of Empirical Risk Estimates JMLR 2022