Stochastic Processes
533 papers
Papers per year
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33
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96
42
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Papers
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
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
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
Feasible Action Search for Bandit Linear Programs via Thompson Sampling
ICML 2025
Formal Quality Measures for Predictors in Markov Decision Processes
AAAI 2025