Stochastic Processes

Real-time variational method for learning neural trajectory and its dynamics ICLR 2023 Reasons for the Superiority of Stochastic Estimators over Deterministic Ones: Robustness, Consistency and Perceptual Quality ICML 2023 Recurrent Neural Language Models as Probabilistic Finite-state Automata EMNLP 2023 Refined Convergence and Topology Learning for Decentralized SGD with Heterogeneous Data AISTATS 2023 Representational Dissimilarity Metric Spaces for Stochastic Neural Networks ICLR 2023 Reproducibility of Training Deep Learning Models for Medical Image Analysis MIDL 2023 Resolving the Mixing Time of the Langevin Algorithm to its Stationary Distribution for Log-Concave Sampling COLT 2023 Restless Bandits with Average Reward: Breaking the Uniform Global Attractor Assumption NeurIPS 2023 Restoration-Degradation Beyond Linear Diffusions: A Non-Asymptotic Analysis For DDIM-type Samplers ICML 2023 Retrospective Uncertainties for Deep Models using Vine Copulas AISTATS 2023 Revisiting Gradient Clipping: Stochastic bias and tight convergence guarantees ICML 2023 Robust Quickest Change Detection for Unnormalized Models UAI 2023 Robust Safety under Stochastic Uncertainty with Discrete-Time Control Barrier Functions RSS 2023 Robust statistical comparison of random variables with locally varying scale of measurement UAI 2023 Sampling-based inference for large linear models, with application to linearised Laplace ICLR 2023 Sampling From a Schrödinger Bridge AISTATS 2023 Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent NeurIPS 2023 Sampling from Structured Log-Concave Distributions via a Soft-Threshold Dikin Walk NeurIPS 2023 Sampling weights of deep neural networks NeurIPS 2023 SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models NeurIPS 2023 SCADE: NeRFs from Space Carving With Ambiguity-Aware Depth Estimates CVPR 2023 Scalable Batch-Mode Deep Bayesian Active Learning via Equivalence Class Annealing ICLR 2023 Scalable Deep Kernel Gaussian Process for Vehicle Dynamics in Autonomous Racing CoRL 2023 Scalable marked point processes for exchangeable and non-exchangeable event sequences AISTATS 2023 Scalable nonparametric Bayesian learning for dynamic velocity fields UAI 2023