mean field

Generative Adversarial Networks: Dynamics JMLR 2025 Improved Particle Approximation Error for Mean Field Neural Networks NeurIPS 2024 LogicMP: A Neuro-symbolic Approach for Encoding First-order Logic Constraints ICLR 2024 Mean-field Analysis on Two-layer Neural Networks from a Kernel Perspective ICML 2024 Mean-field Underdamped Langevin Dynamics and its Spacetime Discretization ICML 2024 Best Arm Identification in Multi-Agent Multi-Armed Bandits ICML 2023 Entropic Fictitious Play for Mean Field Optimization Problem JMLR 2023 Probabilistic Transformer: A Probabilistic Dependency Model for Contextual Word Representation ACL 2023 Statistical and Computational Trade-off in Multi-Agent Multi-Armed Bandits NeurIPS 2023 Approximate Inference for Stochastic Planning in Factored Spaces PGM 2022 Convergence of Policy Gradient for Entropy Regularized MDPs with Neural Network Approximation in the Mean-Field Regime ICML 2022 On global convergence of ResNets: From finite to infinite width using linear parameterization NeurIPS 2022 Particle Stochastic Dual Coordinate Ascent: Exponential convergent algorithm for mean field neural network optimization ICLR 2022 Global Convergence of Three-layer Neural Networks in the Mean Field Regime ICLR 2021 When random initializations help: a study of variational inference for community detection JMLR 2021 Breaking the Curse of Many Agents: Provable Mean Embedding Q-Iteration for Mean-Field Reinforcement Learning ICML 2020 The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks ICML 2020 An Instability in Variational Inference for Topic Models ICML 2019 Fast Convergence of Belief Propagation to Global Optima: Beyond Correlation Decay NeurIPS 2019 Second-Order Semantic Dependency Parsing with End-to-End Neural Networks ACL 2019 Mean Field for the Stochastic Blockmodel: Optimization Landscape and Convergence Issues NeurIPS 2018 Mean Field Multi-Agent Reinforcement Learning ICML 2018 Optimal Single Sample Tests for Structured versus Unstructured Network Data COLT 2018 Multiplicative Normalizing Flows for Variational Bayesian Neural Networks ICML 2017 Tight Variational Bounds via Random Projections and I-Projections AISTATS 2016