conftrace_

empirical risk minimization

352 papers

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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

Fast Rates of ERM and Stochastic Approximation: Adaptive to Error Bound Conditions NIPS 2018
Distributed Learning without Distress: Privacy-Preserving Empirical Risk Minimization NIPS 2018
Empirical Risk Minimization Under Fairness Constraints NIPS 2018
GIANT: Globally Improved Approximate Newton Method for Distributed Optimization NIPS 2018
Efficient Stochastic Gradient Hard Thresholding NIPS 2018
Local Optimality and Generalization Guarantees for the Langevin Algorithm via Empirical Metastability COLT 2018
Average Stability is Invariant to Data Preconditioning. Implications to Exp-concave Empirical Risk Minimization JMLR 2018
Binary Classification from Positive-Confidence Data NIPS 2018
Global Guarantees for Enforcing Deep Generative Priors by Empirical Risk COLT 2018
On Binary Classification in Extreme Regions NIPS 2018
Minimax Statistical Learning with Wasserstein distances NIPS 2018
Unbiased Learning-to-Rank with Biased Feedback IJCAI 2018
Large Scale Empirical Risk Minimization via Truncated Adaptive Newton Method AISTATS 2018
On the Fine-Grained Complexity of Empirical Risk Minimization: Kernel Methods and Neural Networks NIPS 2017
Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization JMLR 2017
Regularization and the small-ball method II: complexity dependent error rates JMLR 2017
Certified Defenses for Data Poisoning Attacks NIPS 2017
Empirical Risk Minimization for Stochastic Convex Optimization: $O(1/n)$- and $O(1/n^2)$-type of Risk Bounds COLT 2017
A Sample Complexity Measure with Applications to Learning Optimal Auctions NIPS 2017
Aggressive Sampling for Multi-class to Binary Reduction with Applications to Text Classification NIPS 2017
Fast Rates for Empirical Risk Minimization of Strict Saddle Problems COLT 2017
Multi-Observation Elicitation COLT 2017
Differentially Private Empirical Risk Minimization Revisited: Faster and More General NIPS 2017
Doubly Greedy Primal-Dual Coordinate Descent for Sparse Empirical Risk Minimization ICML 2017
Counterfactual Learning from Bandit Feedback under Deterministic Logging : A Case Study in Statistical Machine Translation EMNLP 2017