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Probability

1,045 papers

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Papers

Fast Conditional Mixing of MCMC Algorithms for Non-log-concave Distributions NIPS 2023
Kernel-Based Tests for Likelihood-Free Hypothesis Testing NIPS 2023
Energy-Based Sliced Wasserstein Distance NIPS 2023
K-Nearest-Neighbor Local Sampling Based Conditional Independence Testing NIPS 2023
Bayesian Extensive-Rank Matrix Factorization with Rotational Invariant Priors NIPS 2023
A Measure-Theoretic Axiomatisation of Causality NIPS 2023
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model NIPS 2023
Sharp Spectral Rates for Koopman Operator Learning NIPS 2023
Robust Mean Estimation Without Moments for Symmetric Distributions NIPS 2023
Fast Optimal Transport through Sliced Generalized Wasserstein Geodesics NIPS 2023
Markovian Sliced Wasserstein Distances: Beyond Independent Projections NIPS 2023
Learning Curves for Deep Structured Gaussian Feature Models NIPS 2023
Self-Consistent Velocity Matching of Probability Flows NIPS 2023
Learning Rate Free Sampling in Constrained Domains NIPS 2023
Stable Vectorization of Multiparameter Persistent Homology using Signed Barcodes as Measures NIPS 2023
Data-driven Optimal Filtering for Linear Systems with Unknown Noise Covariances NIPS 2023
Stein $\Pi$-Importance Sampling NIPS 2023
Robust covariance estimation with missing values and cell-wise contamination NIPS 2023
Gaussian Partial Information Decomposition: Bias Correction and Application to High-dimensional Data NIPS 2023
MMD-Fuse: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting NIPS 2023
Langevin Quasi-Monte Carlo NIPS 2023
Estimating Koopman operators with sketching to provably learn large scale dynamical systems NIPS 2023
Towards Scalable Coverage-Based Testing of Autonomous Vehicles CORL 2023
Heteroscedastic Gaussian Processes and Random Features: Scalable Motion Primitives with Guarantees CORL 2023
Detecting Multivariate Time Series Anomalies with Zero Known Label AAAI 2023