Probability

Accelerating Constrained Sampling: A Large Deviations Approach JMLR 2026 Almost Linear Convergence under Minimal Score Assumptions: Quantized Transition Diffusion COLT 2026 A Single Stepsize Suffices for Unprojected Linear TD(0): Simultaneous Robust and Fast Rates via Polyak–Ruppert Averaging COLT 2026 Bridging Storage and Execution: A Semantic Virtual Bus for On-Demand Application Streaming NSDI 2026 Characterising the Convergence of Imprecise Markov Chains UAI 2026 From Bayes’ Rule to Bayes Rules: Information Processing, Bayes’ Theorem, and Imprecise Probabilities UAI 2026 HEDGE: Traffic Engineering with Probabilistic Link Capacities NSDI 2026 Higher-Order Hit-&-Run Samplers for Linearly Constrained Densities UAI 2026 On the implicit regularization of Langevin dynamics with projected noise COLT 2026 Polynomial-time sampling despite disorder chaos COLT 2026 Rigorous Asymptotics for First-Order Algorithms Through the Dynamical Cavity Method COLT 2026 Sparse recovery of Diffusion Dynamics: Handling High-Dimensionality in Repeated Short Trajectories UAI 2026 Talagrand Meets Talagrand: Upper and Lower Bounds on Expected Soft Maxima of Gaussian Processes with Finite Index Sets ALT 2026 Trajectory-Level Experimental Design for Fast Safety Parameter Estimation of Unknown Environments by Autonomous Systems L4DC 2026 All-Purpose Mean Estimation over R: Optimal Sub-Gaussianity with Outlier Robustness and Low Moments Performance ICML 2025 Analyzing and Modeling LLM Response Lengths with Extreme Value Theory: Anchoring Effects and Hybrid Distributions EMNLP 2025 An Online Statistical Framework for Out-of-Distribution Detection ICML 2025 A Spatio-Temporal Point Process for Fine-Grained Modeling of Reading Behavior ACL 2025 A Sub-Problem Quantum Alternating Operator Ansatz for Correlation Clustering ICML 2025 A Wiener Process Perspective on Local Intrinsic Dimension Estimation Methods AAAI 2025 Backward Filtering Forward Guiding JMLR 2025 Concentration of Cumulative Reward in Markov Decision Processes JMLR 2025 Convergence of Mean-Field Langevin Stochastic Descent-Ascent for Distributional Minimax Optimization ICML 2025 Error Analysis Affected by Heavy-Tailed Gradients for Non-Convex Pairwise Stochastic Gradient Descent AAAI 2025 Faster Global Minimum Cut with Predictions ICML 2025