statistical efficiency

Privately Estimating Black-Box Statistics COLT 2026 On the Statistical Efficiency of Mean-Field Reinforcement Learning with General Function Approximation AISTATS 2024 Provable Representation with Efficient Planning for Partially Observable Reinforcement Learning ICML 2024 Trajectory Data Suffices for Statistically Efficient Learning in Offline RL with Linear q^π-Realizability and Concentrability NeurIPS 2024 A Fast and Accurate Estimator for Large Scale Linear Model via Data Averaging NeurIPS 2023 A Non-parametric View of FedAvg and FedProx:Beyond Stationary Points JMLR 2023 Pitfalls of Gaussians as a noise distribution in NCE ICLR 2023 Polarity Is All You Need to Learn and Transfer Faster ICML 2023 Provable benefits of score matching NeurIPS 2023 Statistical Efficiency of Score Matching: The View from Isoperimetry ICLR 2023 Beyond GNNs: An Efficient Architecture for Graph Problems AAAI 2022 Jointly Efficient and Optimal Algorithms for Logistic Bandits AISTATS 2022 A Unified Statistically Efficient Estimation Framework for Unnormalized Models AISTATS 2020 Predicting Choice with Set-Dependent Aggregation ICML 2020 Noise Contrastive Estimation and Negative Sampling for Conditional Models: Consistency and Statistical Efficiency EMNLP 2018 On the Statistical Efficiency of Compositional Nonparametric Prediction AISTATS 2018 Towards Stability and Optimality in Stochastic Gradient Descent AISTATS 2016 Dealing with small data: On the generalization of context trees ICML 2015 Computing Parametric Ranking Models via Rank-Breaking ICML 2014 Generalized Method-of-Moments for Rank Aggregation NeurIPS 2013 Sample Complexity of Composite Likelihood AISTATS 2012 High-dimensional Variable Selection with Sparse Random Projections: Measurement Sparsity and Statistical Efficiency JMLR 2010