stationary distribution

Stochastic Differential Equations models for Least-Squares Stochastic Gradient Descent JMLR 2026 Towards Identifiability of Interventional Stochastic Differential Equations UAI 2026 ComaDICE: Offline Cooperative Multi-Agent Reinforcement Learning with Stationary Distribution Shift Regularization ICLR 2025 Refined Analysis of Constant Step Size Federated Averaging and Federated Richardson-Romberg Extrapolation AISTATS 2025 Score-Aware Policy-Gradient and Performance Guarantees using Local Lyapunov Stability JMLR 2025 SEMDICE: Off-policy State Entropy Maximization via Stationary Distribution Correction Estimation ICLR 2025 Two-Timescale Linear Stochastic Approximation: Constant Stepsizes Go a Long Way AISTATS 2025 Ai-sampler: Adversarial Learning of Markov kernels with involutive maps ICML 2024 Just Wing It: Near-Optimal Estimation of Missing Mass in a Markovian Sequence JMLR 2024 Learning from Sparse Offline Datasets via Conservative Density Estimation ICLR 2024 Mitigating Covariate Shift in Behavioral Cloning via Robust Stationary Distribution Correction NeurIPS 2024 Multi-Relational Structural Entropy UAI 2024 Relaxed Stationary Distribution Correction Estimation for Improved Offline Policy Optimization AAAI 2024 Sampling from the Mean-Field Stationary Distribution COLT 2024 AlberDICE: Addressing Out-Of-Distribution Joint Actions in Offline Multi-Agent RL via Alternating Stationary Distribution Correction Estimation NeurIPS 2023 Approximate Heavy Tails in Offline (Multi-Pass) Stochastic Gradient Descent NeurIPS 2023 A Tale of Sampling and Estimation in Discounted Reinforcement Learning AISTATS 2023 Finding Safe Zones of Markov Decision Processes Policies NeurIPS 2023 Resolving the Mixing Time of the Langevin Algorithm to its Stationary Distribution for Log-Concave Sampling COLT 2023 SafeDICE: Offline Safe Imitation Learning with Non-Preferred Demonstrations NeurIPS 2023 COptiDICE: Offline Constrained Reinforcement Learning via Stationary Distribution Correction Estimation ICLR 2022 DemoDICE: Offline Imitation Learning with Supplementary Imperfect Demonstrations ICLR 2022 Experience Replay with Likelihood-free Importance Weights L4DC 2022 Identity Testing of Reversible Markov Chains AISTATS 2022 LobsDICE: Offline Learning from Observation via Stationary Distribution Correction Estimation NeurIPS 2022