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Optimization

14,983 papers

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Papers

On Coresets for Regularized Regression ICML 2020
k-means++: few more steps yield constant approximation ICML 2020
Stochastic Flows and Geometric Optimization on the Orthogonal Group ICML 2020
Semismooth Newton Algorithm for Efficient Projections onto $\ell_1, ∞$-norm Ball ICML 2020
On Efficient Low Distortion Ultrametric Embedding ICML 2020
Boosting Frank-Wolfe by Chasing Gradients ICML 2020
Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack ICML 2020
Parameter-free, Dynamic, and Strongly-Adaptive Online Learning ICML 2020
Momentum Improves Normalized SGD ICML 2020
Structure Adaptive Algorithms for Stochastic Bandits ICML 2020
Towards Understanding the Dynamics of the First-Order Adversaries ICML 2020
A Swiss Army Knife for Minimax Optimal Transport ICML 2020
Inexact Tensor Methods with Dynamic Accuracies ICML 2020
Provable Smoothness Guarantees for Black-Box Variational Inference ICML 2020
Multinomial Logit Bandit with Low Switching Cost ICML 2020
Expert Learning through Generalized Inverse Multiobjective Optimization: Models, Insights, and Algorithms ICML 2020
The Complexity of Finding Stationary Points with Stochastic Gradient Descent ICML 2020
Self-Concordant Analysis of Frank-Wolfe Algorithms ICML 2020
Estimating Q(s,s’) with Deep Deterministic Dynamics Gradients ICML 2020
Rigging the Lottery: Making All Tickets Winners ICML 2020
Spectral Graph Matching and Regularized Quadratic Relaxations: Algorithm and Theory ICML 2020
Improved Optimistic Algorithms for Logistic Bandits ICML 2020
Global Concavity and Optimization in a Class of Dynamic Discrete Choice Models ICML 2020
Why Are Learned Indexes So Effective? ICML 2020
Implicit Learning Dynamics in Stackelberg Games: Equilibria Characterization, Convergence Analysis, and Empirical Study ICML 2020