stochastic process

SLIP: Learning to predict in unknown dynamical systems with long-term memory NeurIPS 2020 Stable behaviour of infinitely wide deep neural networks AISTATS 2020 Stochastic Dynamics for Video Infilling WACV 2020 Stochastic Normalizing Flows NeurIPS 2020 Stochastic Online Learning with Probabilistic Graph Feedback AAAI 2020 STReSSD: Sim-To-Real from Sound for Stochastic Dynamics CoRL 2020 Tweedie-Hawkes Processes: Interpreting the Phenomena of Outbreaks AAAI 2020 VideoFlow: A Conditional Flow-Based Model for Stochastic Video Generation ICLR 2020 Why Are Learned Indexes So Effective? ICML 2020 A Generalization Bound for Online Variational Inference ACML 2019 Approximations of the Restless Bandit Problem JMLR 2019 A Statistical Investigation of Long Memory in Language and Music ICML 2019 A Unified Mathematical Approach for Foraging and Construction Systems in a 1,000,000 Robot Swarm IJCAI 2019 Autoregressive Policies for Continuous Control Deep Reinforcement Learning IJCAI 2019 Autoregressive Text Generation Beyond Feedback Loops EMNLP 2019 Characterizing the Exact Behaviors of Temporal Difference Learning Algorithms Using Markov Jump Linear System Theory NeurIPS 2019 Conditions on Features for Temporal Difference-Like Methods to Converge IJCAI 2019 Coordinated hippocampal-entorhinal replay as structural inference NeurIPS 2019 Distributed Community Detection via Metastability of the 2-Choices Dynamics AAAI 2019 Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations ICML 2019 FUNCTIONAL VARIATIONAL BAYESIAN NEURAL NETWORKS ICLR 2019 Hamiltonian Monte Carlo with Energy Conserving Subsampling JMLR 2019 High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks NeurIPS 2019 High Flux Passive Imaging With Single-Photon Sensors CVPR 2019 Improved Regret Bounds for Bandit Combinatorial Optimization NeurIPS 2019