Stochastic Processes

An Analytic Solution to Covariance Propagation in Neural Networks AISTATS 2024 An Efficient High-dimensional Gradient Estimator for Stochastic Differential Equations NeurIPS 2024 An Information Bottleneck Perspective for Effective Noise Filtering on Retrieval-Augmented Generation ACL 2024 An Online Bootstrap for Time Series AISTATS 2024 A Novel Approach for Longitudinal Modeling of Aging Health and Predicting Mortality Rates AAAI 2024 Approximating Intersections and Differences Between Linear Statistical Shape Models Using Markov Chain Monte Carlo WACV 2024 AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields NeurIPS 2024 A scalable generative model for dynamical system reconstruction from neuroimaging data NeurIPS 2024 AsGrad: A Sharp Unified Analysis of Asynchronous-SGD Algorithms AISTATS 2024 A Specialized Semismooth Newton Method for Kernel-Based Optimal Transport AISTATS 2024 Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective NeurIPS 2024 A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits NeurIPS 2024 Auto-BPA: An Enhanced Ball-Pivoting Algorithm With Adaptive Radius Using Contextual Bandits WACV 2024 autoMALA: Locally adaptive Metropolis-adjusted Langevin algorithm AISTATS 2024 AutoPRM: Automating Procedural Supervision for Multi-Step Reasoning via Controllable Question Decomposition NAACL 2024 Autoregressive Bandits AISTATS 2024 Back to the Continuous Attractor NeurIPS 2024 Balancing Context Length and Mixing Times for Reinforcement Learning at Scale NeurIPS 2024 B-ary Tree Push-Pull Method is Provably Efficient for Distributed Learning on Heterogeneous Data NeurIPS 2024 Bayesian Online Natural Gradient (BONG) NeurIPS 2024 Beating Adversarial Low-Rank MDPs with Unknown Transition and Bandit Feedback NeurIPS 2024 Bias in Motion: Theoretical Insights into the Dynamics of Bias in SGD Training NeurIPS 2024 Bisimulation Metrics are Optimal Transport Distances, and Can be Computed Efficiently NeurIPS 2024 Blending Data-Driven Priors in Dynamic Games RSS 2024 Bootstrap aggregation and confidence measures to improve time series causal discovery CLeaR 2024