Probability

A Generic Family of Graphical Models: Diversity, Efficiency, and Heterogeneity ICML 2025 Agnostic Private Density Estimation for GMMs via List Global Stability ALT 2025 Algorithms for ridge estimation with convergence guarantees JMLR 2025 “All-Something-Nothing” Phase Transitions in Planted k-Factor Recovery (Extended Abstract) COLT 2025 An Asymmetric Independence Model for Causal Discovery on Path Spaces CLeaR 2025 A New Concentration Inequality for Sampling Without Replacement and Its Application for Transductive Learning ICML 2025 An Online Adaptive Sampling Algorithm for Stochastic Difference-of-convex Optimization with Time-varying Distributions ICML 2025 Approximating the Total Variation Distance between Gaussians AISTATS 2025 Approximating the total variation distance between spin systems COLT 2025 A Probabilistic Toolkit for Multi-grained Word Segmentation in Chinese COLING 2025 A Proof of The Changepoint Detection Threshold Conjecture in Preferential Attachment Models COLT 2025 A Random Matrix Approach to Low-Multilinear-Rank Tensor Approximation JMLR 2025 A Random Matrix Theory Perspective on the Spectrum of Learned Features and Asymptotic Generalization Capabilities AISTATS 2025 Asymptotic Analysis of Weighted Fair Division IJCAI 2025 Asymptotic Fair Division: Chores Are Easier Than Goods IJCAI 2025 A Unified Theory of Supervised Online Learnability ALT 2025 Bayesian Analysis of Combinatorial Gaussian Process Bandits ICLR 2025 Beyond cognacy ACL 2025 Beyond Minimax Rates in Group Distributionally Robust Optimization via a Novel Notion of Sparsity ICML 2025 Certifiably Robust Model Evaluation in Federated Learning under Meta-Distributional Shifts ICML 2025 Characterizing Dependence of Samples along the Langevin Dynamics and Algorithms via Contraction of $Φ$-Mutual Information (Extended Abstract) COLT 2025 Clustering with bandit feedback: breaking down the computation/information gap ALT 2025 Collaborative Mean Estimation Among Heterogeneous Strategic Agents: Individual Rationality, Fairness, and Truthful Contribution ICML 2025 Computable learning of natural hypothesis classes COLT 2025 Computational Equivalence of Spiked Covariance and Spiked Wigner Models via Gram-Schmidt Perturbation COLT 2025