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Stochastic Processes

2,667 papers

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Papers

Off-Policy Confidence Sequences ICML 2021
Gaussian Process-Based Real-Time Learning for Safety Critical Applications ICML 2021
Better Training using Weight-Constrained Stochastic Dynamics ICML 2021
Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning ICML 2021
Temporal Difference Learning as Gradient Splitting ICML 2021
Noise and Fluctuation of Finite Learning Rate Stochastic Gradient Descent ICML 2021
Variance Reduced Training with Stratified Sampling for Forecasting Models ICML 2021
Learning Stochastic Behaviour from Aggregate Data ICML 2021
Nonparametric Hamiltonian Monte Carlo ICML 2021
Signatured Deep Fictitious Play for Mean Field Games with Common Noise ICML 2021
Neural Rough Differential Equations for Long Time Series ICML 2021
Bias-Variance Reduced Local SGD for Less Heterogeneous Federated Learning ICML 2021
Geometric convergence of elliptical slice sampling ICML 2021
Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search ICML 2021
RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting ICML 2021
Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech ICML 2021
Bias-Free Scalable Gaussian Processes via Randomized Truncations ICML 2021
Learning Gradient Fields for Molecular Conformation Generation ICML 2021
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning ICML 2021
Learning and Planning in Average-Reward Markov Decision Processes ICML 2021
Deep Generative Learning via Schrödinger Bridge ICML 2021
Inferring serial correlation with dynamic backgrounds ICML 2021
On the Convergence of Hamiltonian Monte Carlo with Stochastic Gradients ICML 2021
Putting a Compass on the Map of Elections IJCAI 2021
Mean Field Games Flock! The Reinforcement Learning Way IJCAI 2021