distribution estimation

Conditional Diffusion Models are Minimax-Optimal and Manifold-Adaptive for Conditional Distribution Estimation ICLR 2025 Diffusion Transformer Captures Spatial-Temporal Dependencies: A Theory for Gaussian Process Data ICLR 2025 Distribution Estimation under the Infinity Norm JMLR 2025 Evaluate with the Inverse: Efficient Approximation of Latent Explanation Quality Distribution AAAI 2025 Near-optimal algorithms for private estimation and sequential testing of collision probability AISTATS 2025 Sum of Squares Circuits AAAI 2025 Tackling Intertwined Data and Device Heterogeneities in Federated Learning with Unlimited Staleness AAAI 2025 Choosing the p in Lp Loss: Adaptive Rates for Symmetric Mean Estimation COLT 2024 Contextual Decision-Making with Knapsacks Beyond the Worst Case NeurIPS 2024 Distributional Off-Policy Evaluation for Slate Recommendations AAAI 2024 Handling Ambiguity in Emotion: From Out-of-Domain Detection to Distribution Estimation ACL 2024 Online Distribution Learning with Local Privacy Constraints AISTATS 2024 Predicate Debiasing in Vision-Language Models Integration for Scene Graph Generation Enhancement EMNLP 2024 Sample-Optimal Locally Private Hypothesis Selection and the Provable Benefits of Interactivity COLT 2024 Boosting Few-Shot Text Classification via Distribution Estimation AAAI 2023 Diffusion Models are Minimax Optimal Distribution Estimators ICML 2023 Discrete Distribution Estimation under User-level Local Differential Privacy AISTATS 2023 Max-Quantile Grouped Infinite-Arm Bandits ALT 2023 Mixture Proportion Estimation Beyond Irreducibility ICML 2023 OPT-GAN: A Broad-Spectrum Global Optimizer for Black-Box Problems by Learning Distribution AAAI 2023 Positive Distribution Pollution: Rethinking Positive Unlabeled Learning from a Unified Perspective AAAI 2023 Reward-Directed Conditional Diffusion: Provable Distribution Estimation and Reward Improvement NeurIPS 2023 Robust Estimation of Discrete Distributions under Local Differential Privacy ALT 2023 Score Approximation, Estimation and Distribution Recovery of Diffusion Models on Low-Dimensional Data ICML 2023 Time-uniform confidence bands for the CDF under nonstationarity NeurIPS 2023