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Probability

1043 directly classified papers

Papers per year

Papers

Fast Minimization of Expected Logarithmic Loss via Stochastic Dual Averaging AISTATS 2024
Low Degree Hardness for Broadcasting on Trees NIPS 2024
Sinkhorn Flow as Mirror Flow: A Continuous-Time Framework for Generalizing the Sinkhorn Algorithm AISTATS 2024
Data-Driven Confidence Intervals with Optimal Rates for the Mean of Heavy-Tailed Distributions AISTATS 2024
Quadratic Quantum Variational Monte Carlo NIPS 2024
Adjust Pearson's $r$ to Measure Arbitrary Monotone Dependence NIPS 2024
Distances for Markov Chains, and Their Differentiation ALT 2024
3D Gaussian Splatting as Markov Chain Monte Carlo NIPS 2024
The Moderating Effect of Instant Runoff Voting AAAI 2024
Correlated Binomial Process COLT 2024
ROME: Robust Multi-Modal Density Estimator IJCAI 2024
Zipper: Addressing Degeneracy in Algorithm-Agnostic Inference NIPS 2024
Mean-Field Analysis for Learning Subspace-Sparse Polynomials with Gaussian Input NIPS 2024
Log-concave Sampling from a Convex Body with a Barrier: a Robust and Unified Dikin Walk NIPS 2024
Mirror and Preconditioned Gradient Descent in Wasserstein Space NIPS 2024
Deep Learning for Computing Convergence Rates of Markov Chains NIPS 2024
Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces I: the compact case JMLR 2024
Kernel Conditional Moment Constraints for Confounding Robust Inference AISTATS 2023
Huber-robust confidence sequences AISTATS 2023
Concentration analysis of multivariate elliptic diffusions JMLR 2023
Randomized geometric tools for anomaly detection in stock markets AISTATS 2023
Moments, Random Walks, and Limits for Spectrum Approximation COLT 2023
Attribute-Efficient PAC Learning of Low-Degree Polynomial Threshold Functions with Nasty Noise ICML 2023
A Permutation-Free Kernel Independence Test JMLR 2023
Detection-Recovery and Detection-Refutation Gaps via Reductions from Planted Clique COLT 2023