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Optimization, Statistics and Uncertainty

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Optimization's Untold Gift to Learning: Implicit Regularization

Nov 30, 2017 · Simons Institute for the Theory of Computing

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Fast Rates for Bandit Optimization with Upper-Confidence Frank-Wolfe

Nov 30, 2017 · Simons Institute for the Theory of Computing

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On Approximation Guarantees for Greedy Low Rank Optimization

Nov 30, 2017 · Simons Institute for the Theory of Computing

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Graph Powering

Nov 30, 2017 · Simons Institute for the Theory of Computing

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Low-rank Matrix Completion: Adaptive Sampling Can Help When, How?

Nov 29, 2017 · Simons Institute for the Theory of Computing

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Implicit Regularization in Nonconvex Statistical Estimation

Nov 29, 2017 · Simons Institute for the Theory of Computing

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A Few Connections Between Optimization and Probability

Nov 29, 2017 · Simons Institute for the Theory of Computing

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An Instability in Variational Methods for Learning Topic Models

Nov 29, 2017 · Simons Institute for the Theory of Computing

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Distributional Robustness, Learning, and Empirical Likelihood

Nov 29, 2017 · Simons Institute for the Theory of Computing

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The Convergence of Hamiltonian Monte Carlo

Nov 29, 2017 · Simons Institute for the Theory of Computing

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