conftrace_

empirical risk

43 papers

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Co-occurring keywords

learning theory (519) generalization bound (652) gradient descent (1144) convex optimization (1321) population risk (17) empirical risk minimization (352) stochastic gradient descent (1091) rademacher complexity (109) neural network optimization (1293) stochastic optimization (1060)

Papers

Surfing: Iterative Optimization Over Incrementally Trained Deep Networks NIPS 2019
The Landscape of Non-convex Empirical Risk with Degenerate Population Risk NIPS 2019
Global Guarantees for Blind Demodulation with Generative Priors NIPS 2019
On the Local Minima of the Empirical Risk NIPS 2018
Uniform Convergence of Gradients for Non-Convex Learning and Optimization NIPS 2018
Understanding Generalization and Optimization Performance of Deep CNNs ICML 2018
Phase Retrieval Under a Generative Prior NIPS 2018
Positive-Unlabeled Learning with Non-Negative Risk Estimator NIPS 2017
Handling Noise in Boolean Matrix Factorization IJCAI 2017
A Learning Theory of Ranking Aggregation AISTATS 2017
Loss factorization, weakly supervised learning and label noise robustness ICML 2016
An LP for Sequential Learning Under Budgets AISTATS 2014
On Ranking and Generalization Bounds JMLR 2012
Minimax Multi-Task Learning and a Generalized Loss-Compositional Paradigm for MTL NIPS 2012
Learning Probability Measures with respect to Optimal Transport Metrics NIPS 2012
The Fast Convergence of Boosting NIPS 2011
Rademacher Complexities and Bounding the Excess Risk in Active Learning JMLR 2010
On Uniform Deviations of General Empirical Risks with Unboundedness, Dependence, and High Dimensionality JMLR 2009