conftrace_

estimation error

23 papers

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Co-occurring keywords

statistical learning (351) gaussian width (9) gaussian min-max theorem (3) hypothesis class (28) approximation error (49) communication efficiency (297) sparse optimization (246) linear regression (282) distributed learning (563) ridge regression (134)

Papers

The Reliability of OKRidge Method in Solving Sparse Ridge Regression Problems NIPS 2024
Improved Bounds for Multi-task Learning with Trace Norm Regularization COLT 2023
Improved Utility Analysis of Private CountSketch NIPS 2022
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
Leveraging Spatial and Temporal Correlations in Sparsified Mean Estimation NIPS 2021
Asymptotics of Ridge Regression in Convolutional Models ICML 2021
Understanding Failures in Out-of-Distribution Detection with Deep Generative Models ICML 2021
Deep learning is adaptive to intrinsic dimensionality of model smoothness in anisotropic Besov space NIPS 2021
Differentially Private Model Personalization NIPS 2021
Harmonic Decompositions of Convolutional Networks ICML 2020
Dual T: Reducing Estimation Error for Transition Matrix in Label-noise Learning NIPS 2020
The estimation error of general first order methods COLT 2020
High probability generalization bounds for uniformly stable algorithms with nearly optimal rate COLT 2019
On Sparse Linear Regression in the Local Differential Privacy Model ICML 2019
A Learning Error Analysis for Structured Prediction with Approximate Inference NIPS 2017
Trading off Rewards and Errors in Multi-Armed Bandits AISTATS 2017
Communication-efficient Algorithms for Distributed Stochastic Principal Component Analysis ICML 2017
Regularized Linear Regression: A Precise Analysis of the Estimation Error COLT 2015
Structured Estimation with Atomic Norms: General Bounds and Applications NIPS 2015
Estimation with Norm Regularization NIPS 2014
Pointwise Tracking the Optimal Regression Function NIPS 2012
Machine Learning with Data Dependent Hypothesis Classes JMLR 2002