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Optimization

14,983 papers

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Papers

Self-similar Epochs: Value in arrangement ICML 2019
Learning Generative Models across Incomparable Spaces ICML 2019
A Quantitative Analysis of the Effect of Batch Normalization on Gradient Descent ICML 2019
Accelerated Linear Convergence of Stochastic Momentum Methods in Wasserstein Distances ICML 2019
Competing Against Nash Equilibria in Adversarially Changing Zero-Sum Games ICML 2019
Control Regularization for Reduced Variance Reinforcement Learning ICML 2019
Neural Joint Source-Channel Coding ICML 2019
Beyond Backprop: Online Alternating Minimization with Auxiliary Variables ICML 2019
Probability Functional Descent: A Unifying Perspective on GANs, Variational Inference, and Reinforcement Learning ICML 2019
Empirical Analysis of Beam Search Performance Degradation in Neural Sequence Models ICML 2019
Monge blunts Bayes: Hardness Results for Adversarial Training ICML 2019
Matrix-Free Preconditioning in Online Learning ICML 2019
Learning Fast Algorithms for Linear Transforms Using Butterfly Factorizations ICML 2019
Learning-to-Learn Stochastic Gradient Descent with Biased Regularization ICML 2019
Sever: A Robust Meta-Algorithm for Stochastic Optimization ICML 2019
Noisy Dual Principal Component Pursuit ICML 2019
Width Provably Matters in Optimization for Deep Linear Neural Networks ICML 2019
Optimal Auctions through Deep Learning ICML 2019
Sequential Facility Location: Approximate Submodularity and Greedy Algorithm ICML 2019
Almost surely constrained convex optimization ICML 2019
A Theory of Regularized Markov Decision Processes ICML 2019
DeepMDP: Learning Continuous Latent Space Models for Representation Learning ICML 2019
Improved Parallel Algorithms for Density-Based Network Clustering ICML 2019
An Investigation into Neural Net Optimization via Hessian Eigenvalue Density ICML 2019
Combining parametric and nonparametric models for off-policy evaluation ICML 2019