conftrace_

empirical risk minimization

352 papers

Explore in graph

Also known as

ERM

Co-occurring keywords

convex optimization (1321) stochastic optimization (1060) differential privacy (1016) stochastic gradient descent (1091) learning theory (519) generalization bound (652) sample complexity (1169) non-convex optimization (547) domain generalization (1522) distributionally robust optimization (185)

Papers

SONIA: A Symmetric Blockwise Truncated Optimization Algorithm AISTATS 2021
Oblivious Sketching-based Central Path Method for Linear Programming ICML 2021
Strategic Classification Made Practical ICML 2021
Newton Method over Networks is Fast up to the Statistical Precision ICML 2021
Regularized ERM on random subspaces AISTATS 2021
Evading the Curse of Dimensionality in Unconstrained Private GLMs AISTATS 2021
On Empirical Risk Minimization with Dependent and Heavy-Tailed Data NIPS 2021
Fundamental Limits of Ridge-Regularized Empirical Risk Minimization in High Dimensions AISTATS 2021
Localization, Convexity, and Star Aggregation NIPS 2021
(Nearly) Dimension Independent Private ERM with AdaGrad Rates\{via Publicly Estimated Subspaces COLT 2021
Private optimization without constraint violations AISTATS 2021
DORO: Distributional and Outlier Robust Optimization ICML 2021
SGD Generalizes Better Than GD (And Regularization Doesn’t Help) COLT 2021
PAC-Learning for Strategic Classification ICML 2021
An Empirical Investigation of Domain Generalization with Empirical Risk Minimizers NIPS 2021
Concentration of Non-Isotropic Random Tensors with Applications to Learning and Empirical Risk Minimization COLT 2021
On the Minimal Error of Empirical Risk Minimization COLT 2021
Stable Adversarial Learning under Distributional Shifts AAAI 2021
Hadamard Wirtinger Flow for Sparse Phase Retrieval AISTATS 2021
Refined Learning Bounds for Kernel and Approximate $k$-Means NIPS 2021
SGD: The Role of Implicit Regularization, Batch-size and Multiple-epochs NIPS 2021
Improved Algorithms for Agnostic Pool-based Active Classification ICML 2021
Learning with User-Level Privacy NIPS 2021
Private Non-smooth ERM and SCO in Subquadratic Steps NIPS 2021
Exploiting Local Convergence of Quasi-Newton Methods Globally: Adaptive Sample Size Approach NIPS 2021