stochastic process

Stochastic Neural Simulator for Generalizing Dynamical Systems across Environments IJCAI 2024 Testing exchangeability by pairwise betting AISTATS 2024 The Expected Loss of Preconditioned Langevin Dynamics Reveals the Hessian Rank AAAI 2024 The Irrelevance of Influencers: Information Diffusion with Re-Activation and Immunity Lasts Exponentially Long on Social Network Models AAAI 2024 Theoretical guarantees in KL for Diffusion Flow Matching NeurIPS 2024 This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian Optimization NeurIPS 2024 UDPM: Upsampling Diffusion Probabilistic Models NeurIPS 2024 When is a Language Process a Language Model? ACL 2024 Adaptive Annealed Importance Sampling with Constant Rate Progress ICML 2023 Adaptive Tuning for Metropolis Adjusted Langevin Trajectories AISTATS 2023 AudioQR: Deep Neural Audio Watermarks For QR Code IJCAI 2023 A unified framework for information-theoretic generalization bounds NeurIPS 2023 A Unified Recipe for Deriving (Time-Uniform) PAC-Bayes Bounds JMLR 2023 Bayesian Convolutional Deep Sets with Task-Dependent Stationary Prior AISTATS 2023 Bayesian Learning of Optimal Policies in Markov Decision Processes with Countably Infinite State-Space NeurIPS 2023 BBDM: Image-to-Image Translation With Brownian Bridge Diffusion Models CVPR 2023 BeliefPPG: Uncertainty-aware heart rate estimation from PPG signals via belief propagation UAI 2023 Best of Both Worlds Policy Optimization ICML 2023 Best-of-three-worlds Analysis for Linear Bandits with Follow-the-regularized-leader Algorithm COLT 2023 Concentration analysis of multivariate elliptic diffusions JMLR 2023 Constant Matters: Fine-grained Error Bound on Differentially Private Continual Observation ICML 2023 Deep Momentum Multi-Marginal Schrödinger Bridge NeurIPS 2023 Deep Stochastic Processes via Functional Markov Transition Operators NeurIPS 2023 Denoising Diffusion Samplers ICLR 2023 Diffusion Bridge Mixture Transports, Schrödinger Bridge Problems and Generative Modeling JMLR 2023