Stochastic Processes

Benefits of monotonicity in safe exploration with Gaussian processes UAI 2023 Benign Overfitting of Constant-Stepsize SGD for Linear Regression JMLR 2023 Best of Both Worlds Policy Optimization ICML 2023 Beyond Average Return in Markov Decision Processes NeurIPS 2023 Beyond Myopia: Learning from Positive and Unlabeled Data through Holistic Predictive Trends NeurIPS 2023 Beyond Uniform Lipschitz Condition in Differentially Private Optimization ICML 2023 Bi-level Physics-Informed Neural Networks for PDE Constrained Optimization using Broyden's Hypergradients ICLR 2023 Black-Box Differential Privacy for Interactive ML NeurIPS 2023 BOLT: Fast Energy-based Controlled Text Generation with Tunable Biases ACL 2023 Bregman Deviations of Generic Exponential Families COLT 2023 Buffered Asynchronous SGD for Byzantine Learning JMLR 2023 Building Normalizing Flows with Stochastic Interpolants ICLR 2023 Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport Benchmark NeurIPS 2023 Calibrating the Rigged Lottery: Making All Tickets Reliable ICLR 2023 Can Learning Deteriorate Control? Analyzing Computational Delays in Gaussian Process-Based Event-Triggered Online Learning L4DC 2023 CARE: Modeling Interacting Dynamics Under Temporal Environmental Variation NeurIPS 2023 CasODE: Modeling Irregular Information Cascade via Neural Ordinary Differential Equations (Student Abstract) AAAI 2023 CEM: Constrained Entropy Maximization for Task-Agnostic Safe Exploration AAAI 2023 Complexity of Probabilistic Inference in Random Dichotomous Hedonic Games AAAI 2023 Compositional Score Modeling for Simulation-Based Inference ICML 2023 Computational Doob h-transforms for Online Filtering of Discretely Observed Diffusions ICML 2023 Concentration analysis of multivariate elliptic diffusions JMLR 2023 Concurrent Shuffle Differential Privacy Under Continual Observation ICML 2023 Confidence-Aware Personalized Federated Learning via Variational Expectation Maximization CVPR 2023 Conformal Meta-learners for Predictive Inference of Individual Treatment Effects NeurIPS 2023