estimation error

Linear Regression under Missing or Corrupted Coordinates COLT 2026 Asymptotics of Linear Regression with Linearly Dependent Data L4DC 2025 Deep Principal Support Vector Machines for Nonlinear Sufficient Dimension Reduction ICML 2025 Provably Efficient Exploration in Inverse Constrained Reinforcement Learning ICML 2025 A Statistical Theory of Regularization-Based Continual Learning ICML 2024 A Unified Adaptive Testing System Enabled by Hierarchical Structure Search ICML 2024 Fundamental Limits of Distributed Covariance Matrix Estimation Under Communication Constraints ICML 2024 Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model ICLR 2024 The Reliability of OKRidge Method in Solving Sparse Ridge Regression Problems NeurIPS 2024 Towards the Theory of Unsupervised Federated Learning: Non-asymptotic Analysis of Federated EM Algorithms ICML 2024 Generalization and Estimation Error Bounds for Model-based Neural Networks ICLR 2023 Improved Bounds for Multi-task Learning with Trace Norm Regularization COLT 2023 The Aggregation–Heterogeneity Trade-off in Federated Learning COLT 2023 A Reduction from Linear Contextual Bandits Lower Bounds to Estimations Lower Bounds ICML 2022 Generalized Results for the Existence and Consistency of the MLE in the Bradley-Terry-Luce Model ICML 2022 Improved Utility Analysis of Private CountSketch NeurIPS 2022 Learnability of convolutional neural networks for infinite dimensional input via mixed and anisotropic smoothness ICLR 2022 Learning Causal Models from Conditional Moment Restrictions by Importance Weighting ICLR 2022 Risk bounds for aggregated shallow neural networks using Gaussian priors COLT 2022 Asymptotics of Ridge Regression in Convolutional Models ICML 2021 Deep learning is adaptive to intrinsic dimensionality of model smoothness in anisotropic Besov space NeurIPS 2021 Differentially Private Model Personalization NeurIPS 2021 Leveraging Spatial and Temporal Correlations in Sparsified Mean Estimation NeurIPS 2021 Understanding Failures in Out-of-Distribution Detection with Deep Generative Models ICML 2021 Dual T: Reducing Estimation Error for Transition Matrix in Label-noise Learning NeurIPS 2020