Stochastic Processes

Piecewise Deterministic Markov Processes for Bayesian Neural Networks UAI 2023 Poisson Process for Bayesian Optimization AutoML 2023 Policy Evaluation in Distributional LQR L4DC 2023 Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs with Applications JMLR 2023 Posterior sampling-based online learning for the stochastic shortest path model UAI 2023 Practical and Asymptotically Exact Conditional Sampling in Diffusion Models NeurIPS 2023 Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference ICML 2023 PreDiff: Precipitation Nowcasting with Latent Diffusion Models NeurIPS 2023 Preferential Subsampling for Stochastic Gradient Langevin Dynamics AISTATS 2023 Probabilistic Invariance for Gaussian Process State Space Models L4DC 2023 Probabilistic Invariant Learning with Randomized Linear Classifiers NeurIPS 2023 Probabilistic Querying of Continuous-Time Event Sequences AISTATS 2023 Probabilistic Verification of ReLU Neural Networks via Characteristic Functions L4DC 2023 Probably Anytime-Safe Stochastic Combinatorial Semi-Bandits ICML 2023 Properties of the Mallows Model Depending on the Number of Alternatives: A Warning for an Experimentalist ICML 2023 Protecting Global Properties of Datasets with Distribution Privacy Mechanisms AISTATS 2023 Provably Fast Finite Particle Variants of SVGD via Virtual Particle Stochastic Approximation NeurIPS 2023 Provably Robust Temporal Difference Learning for Heavy-Tailed Rewards NeurIPS 2023 Q-Flow: Generative Modeling for Differential Equations of Open Quantum Dynamics with Normalizing Flows ICML 2023 Quantifying lottery tickets under label noise: accuracy, calibration, and complexity UAI 2023 Quantifying the Cost of Learning in Queueing Systems NeurIPS 2023 Quantum Multi-Armed Bandits and Stochastic Linear Bandits Enjoy Logarithmic Regrets AAAI 2023 Random Grid Neural Processes for Parametric Partial Differential Equations ICML 2023 Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds ICML 2023 Randomized geometric tools for anomaly detection in stock markets AISTATS 2023