moment matching

Minimax optimal differentially private synthetic data for smooth queries COLT 2026 Exponential Family Variational Flow Matching for Tabular Data Generation ICML 2025 Regularized Rényi Divergence Minimization through Bregman Proximal Gradient Algorithms JMLR 2025 Adversarial Moment-Matching Distillation of Large Language Models NeurIPS 2024 An Efficient Tester-Learner for Halfspaces ICLR 2024 Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning NeurIPS 2024 Multistep Distillation of Diffusion Models via Moment Matching NeurIPS 2024 New Lower Bounds for Testing Monotonicity and Log Concavity of Distributions COLT 2024 Sketchy Moment Matching: Toward Fast and Provable Data Selection for Finetuning NeurIPS 2024 Testable Learning with Distribution Shift COLT 2024 Testably Learning Polynomial Threshold Functions NeurIPS 2024 ELSA: Efficient Label Shift Adaptation through the Lens of Semiparametric Models ICML 2023 Fast Variational Estimation of Mutual Information for Implicit and Explicit Likelihood Models AISTATS 2023 Moment Matching Denoising Gibbs Sampling NeurIPS 2023 Risk Bounds on Aleatoric Uncertainty Recovery AISTATS 2023 SQ Lower Bounds for Non-Gaussian Component Analysis with Weaker Assumptions NeurIPS 2023 Learning (Very) Simple Generative Models Is Hard NeurIPS 2022 Minimax Optimal Online Imitation Learning via Replay Estimation NeurIPS 2022 Optimal SQ Lower Bounds for Robustly Learning Discrete Product Distributions and Ising Models COLT 2022 Provable Reinforcement Learning with a Short-Term Memory ICML 2022 Distributional Reinforcement Learning via Moment Matching AAAI 2021 Improving Generative Moment Matching Networks with Distribution Partition AAAI 2021 In the Light of Feature Distributions: Moment Matching for Neural Style Transfer CVPR 2021 Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation Gap ICML 2021 Scalable Inference in SDEs by Direct Matching of the Fokker–Planck–Kolmogorov Equation NeurIPS 2021