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Probability

1043 directly classified papers

Papers per year

Papers

On Condorcet’s Jury Theorem with Abstention AAAI 2026
On the Information Processing of One-Dimensional Wasserstein Distances with Finite Samples AAAI 2026
Center-Outward q-Dominance: A Sample-Computable Proxy for Strong Stochastic Dominance in Stochastic Multi-Objective Optimisation AAAI 2026
A Phase Transition for Opinion Dynamics with Competing Biases AAAI 2026
Random is Faster than Systematic in Multi-Objective Local Search AAAI 2026
Designing Optimal Mechanisms to Locate Facilities with Insufficient Capacity for Bayesian Agents AAAI 2026
Instance Dependent Testing of Samplers Using Interval Conditioning AAAI 2026
Rethinking the Role of Prompting Strategies in LLM Test-Time Scaling: A Perspective of Probability Theory ACL 2025
Revisiting Cosine Similarity via Normalized ICA-transformed Embeddings COLING 2025
Probability Distribution Collapse: A Critical Bottleneck to Compact Unsupervised Neural Grammar Induction EMNLP 2025
Convergence Rate in a Nonlinear Two-Time-Scale Stochastic Approximation with State (Time)-Dependence AAAI 2025
Algorithms for ridge estimation with convergence guarantees JMLR 2025
A Probabilistic Toolkit for Multi-grained Word Segmentation in Chinese COLING 2025
Gaussian Graphical Modelling Without Independence Assumptions for Uncentered Data AAAI 2025
Universality of Kernel Random Matrices and Kernel Regression in the Quadratic Regime JMLR 2025
Error bounds for particle gradient descent, and extensions of the log-Sobolev and Talagrand inequalities JMLR 2025
Geodesic Slice Sampling on the Sphere JMLR 2025
Optimal Transport on Categorical Data for Conterfactuals Using Compositional Data and Dirichlet Transport IJCAI 2025
Laplace Meets Moreau: Smooth Approximation to Infimal Convolutions Using Laplace's Method JMLR 2025
Wasserstein F-tests for Frechet regression on Bures-Wasserstein manifolds JMLR 2025
Distribution Estimation under the Infinity Norm JMLR 2025
A Random Matrix Approach to Low-Multilinear-Rank Tensor Approximation JMLR 2025
Safe Online Convex Optimization with Heavy-Tailed Observation Noises AAAI 2025
Accelerating optimization over the space of probability measures JMLR 2025
Asymptotic Fair Division: Chores Are Easier Than Goods IJCAI 2025