conftrace_

high-dimensional learning

16 papers

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Co-occurring keywords

sparse regression (175) robust learning (120) high-dimensional statistics (145) sample complexity (1169) parameter estimation (274) variable selection (146) differential privacy (1016) joint sparsity (7) outlier robustness (30) generalization ability (82)

Papers

Revisiting Differentially Private ReLU Regression NIPS 2024
Pruning is Optimal for Learning Sparse Features in High-Dimensions COLT 2024
Learnability of high-dimensional targets by two-parameter models and gradient flow NIPS 2024
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning NIPS 2024
Robust Methods for High-Dimensional Linear Learning JMLR 2023
High-Dimensional Convolutional Networks for Geometric Pattern Recognition CVPR 2020
Robust high dimensional learning for Lipschitz and convex losses JMLR 2020
Dimension-Free Error Bounds from Random Projections AAAI 2019
Differentially Private Algorithms for Learning Mixtures of Separated Gaussians NIPS 2019
Independently Interpretable Lasso: A New Regularizer for Sparse Regression with Uncorrelated Variables AISTATS 2018
Making the Most of Bag of Words: Sentence Regularization with Alternating Direction Method of Multipliers ICML 2014
Greedy Algorithms for Structurally Constrained High Dimensional Problems NIPS 2011
Ultra-high Dimensional Multiple Output Learning With Simultaneous Orthogonal Matching Pursuit: Screening Approach AISTATS 2010
Learning Exponential Families in High-Dimensions: Strong Convexity and Sparsity AISTATS 2010
Nonparametric regression and classification with joint sparsity constraints NIPS 2008
A Probabilistic Analysis of EM for Mixtures of Separated, Spherical Gaussians JMLR 2007