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Optimization

14,207 papers

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Papers

Doubly Accelerated Methods for Faster CCA and Generalized Eigendecomposition ICML 2017
Faster Principal Component Regression and Stable Matrix Chebyshev Approximation ICML 2017
Near-Optimal Design of Experiments via Regret Minimization ICML 2017
OptNet: Differentiable Optimization as a Layer in Neural Networks ICML 2017
Input Convex Neural Networks ICML 2017
An Efficient, Sparsity-Preserving, Online Algorithm for Low-Rank Approximation ICML 2017
A Simple Multi-Class Boosting Framework with Theoretical Guarantees and Empirical Proficiency ICML 2017
Oracle Complexity of Second-Order Methods for Finite-Sum Problems ICML 2017
Wasserstein Generative Adversarial Networks ICML 2017
Neural Taylor Approximations: Convergence and Exploration in Rectifier Networks ICML 2017
End-to-End Learning for Structured Prediction Energy Networks ICML 2017
Compressed Sensing using Generative Models ICML 2017
Practical Gauss-Newton Optimisation for Deep Learning ICML 2017
Reduced Space and Faster Convergence in Imperfect-Information Games via Pruning ICML 2017
Multi-objective Bandits: Optimizing the Generalized Gini Index ICML 2017
Second-Order Kernel Online Convex Optimization with Adaptive Sketching ICML 2017
“Convex Until Proven Guilty”: Dimension-Free Acceleration of Gradient Descent on Non-Convex Functions ICML 2017
Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning ICML 2017
Online Partial Least Square Optimization: Dropping Convexity for Better Efficiency and Scalability ICML 2017
Algorithms for $\ell_p$ Low-Rank Approximation ICML 2017
Distributed Batch Gaussian Process Optimization ICML 2017
Stochastic Variance Reduction Methods for Policy Evaluation ICML 2017
Rule-Enhanced Penalized Regression by Column Generation using Rectangular Maximum Agreement ICML 2017
Forward and Reverse Gradient-Based Hyperparameter Optimization ICML 2017
No Spurious Local Minima in Nonconvex Low Rank Problems: A Unified Geometric Analysis ICML 2017