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Probability

1043 directly classified papers

Papers per year

Papers

Statistical Comparisons of Classifiers by Generalized Stochastic Dominance JMLR 2023
Metrizing Weak Convergence with Maximum Mean Discrepancies JMLR 2023
A Measure-Theoretic Axiomatisation of Causality NIPS 2023
Markovian Sliced Wasserstein Distances: Beyond Independent Projections NIPS 2023
Data-driven Optimal Filtering for Linear Systems with Unknown Noise Covariances NIPS 2023
Fast Optimal Transport through Sliced Generalized Wasserstein Geodesics NIPS 2023
Tree-AMP: Compositional Inference with Tree Approximate Message Passing JMLR 2023
The d-Separation Criterion in Categorical Probability JMLR 2023
Towards a Complete Analysis of Langevin Monte Carlo: Beyond Poincaré Inequality COLT 2023
Tokenization and the Noiseless Channel ACL 2023
Quantum-Inspired Representation for Long-Tail Senses of Word Sense Disambiguation AAAI 2023
Should you marginalize over possible tokenizations? ACL 2023
Optimality in Mean Estimation: Beyond Worst-Case, Beyond Sub-Gaussian, and Beyond $1+\alpha$ Moments NIPS 2023
Detecting Multivariate Time Series Anomalies with Zero Known Label AAAI 2023
Controlling Wasserstein Distances by Kernel Norms with Application to Compressive Statistical Learning JMLR 2023
Finite-Trace Analysis of Stochastic Systems with Silent Transitions (Extended Abstract) IJCAI 2023
Variational Wasserstein Barycenters with C-cyclical Monotonicity Regularization AAAI 2023
Microcanonical Hamiltonian Monte Carlo JMLR 2023
Dimensionality Reduction and Wasserstein Stability for Kernel Regression JMLR 2023
Large data limit of the MBO scheme for data clustering: convergence of the dynamics JMLR 2023
A Unified Recipe for Deriving (Time-Uniform) PAC-Bayes Bounds JMLR 2023
Learning Preference Models with Sparse Interactions of Criteria IJCAI 2023
Max Markov Chain IJCAI 2023
A Faster Practical Approximation Scheme for the Permanent AAAI 2023
On the Optimality of Misspecified Kernel Ridge Regression ICML 2023