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Optimization

14,983 papers

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Papers

“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
Preferential Bayesian Optimization ICML 2017
Automated Curriculum Learning for Neural Networks ICML 2017
Data-Efficient Policy Evaluation Through Behavior Policy Search ICML 2017
Joint Dimensionality Reduction and Metric Learning: A Geometric Take ICML 2017
Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space ICML 2017
Prox-PDA: The Proximal Primal-Dual Algorithm for Fast Distributed Nonconvex Optimization and Learning Over Networks ICML 2017
Tensor Decomposition with Smoothness ICML 2017
Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control ICML 2017
Bayesian Optimization with Tree-structured Dependencies ICML 2017
How to Escape Saddle Points Efficiently ICML 2017
StingyCD: Safely Avoiding Wasteful Updates in Coordinate Descent ICML 2017
Multi-fidelity Bayesian Optimisation with Continuous Approximations ICML 2017
On Approximation Guarantees for Greedy Low Rank Optimization ICML 2017
Cost-Optimal Learning of Causal Graphs ICML 2017
Sub-sampled Cubic Regularization for Non-convex Optimization ICML 2017
Co-clustering through Optimal Transport ICML 2017