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Optimization

12,959 papers (55 classified directly here)

Subtopics

Continuous Optimization (3,907) Stochastic Methods (2,788) Combinatorial Optimization (2,409) Online Algorithms (2,192) Optimization (1,207) Game Theory (944) Discrete Optimization (705) Convex Optimization (591) Optimal Transport (369) Sparse Optimization (347) Optimal Control (225) Global Optimization (190) Distributed Learning (157) Multi-Objective Optimization (125) Approximation Algorithms (110) Bayesian Optimization (100) Distributed Optimization (99) Theory (98) Non-Convex Optimization (76) Kernel Methods (73) Compressed Sensing (72) Robust Optimization (70) Evolutionary Algorithm (58) Linear Programming (43) Algorithms (10) Algorithm (10) Integer Programming (9) Submodular Optimization (9) Matrix Completion (8) Bilevel Optimization (8) Tensor Decomposition (6) Regularization (5)

Papers per year

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Papers (including subtopics)

Refined bounds for algorithm configuration: The knife-edge of dual class approximability ICML 2020
Dual Mirror Descent for Online Allocation Problems ICML 2020
Fast OSCAR and OWL Regression via Safe Screening Rules ICML 2020
ECLIPSE: An Extreme-Scale Linear Program Solver for Web-Applications ICML 2020
Preselection Bandits ICML 2020
Tight Bounds on Minimax Regret under Logarithmic Loss via Self-Concordance ICML 2020
My Fair Bandit: Distributed Learning of Max-Min Fairness with Multi-player Bandits ICML 2020
Fast Differentiable Sorting and Ranking ICML 2020
Schatten Norms in Matrix Streams: Hello Sparsity, Goodbye Dimension ICML 2020
The FAST Algorithm for Submodular Maximization ICML 2020
Online Pricing with Offline Data: Phase Transition and Inverse Square Law ICML 2020
Near-linear time Gaussian process optimization with adaptive batching and resparsification ICML 2020
Logarithmic Regret for Learning Linear Quadratic Regulators Efficiently ICML 2020
Learning to Simulate and Design for Structural Engineering ICML 2020
Combinatorial Pure Exploration for Dueling Bandit ICML 2020
Estimating the Error of Randomized Newton Methods: A Bootstrap Approach ICML 2020
An Accelerated DFO Algorithm for Finite-sum Convex Functions ICML 2020
(Locally) Differentially Private Combinatorial Semi-Bandits ICML 2020
Stochastic Gradient and Langevin Processes ICML 2020
On Coresets for Regularized Regression ICML 2020
Boosting Frank-Wolfe by Chasing Gradients ICML 2020
DINO: Distributed Newton-Type Optimization Method ICML 2020
Supervised Quantile Normalization for Low Rank Matrix Factorization ICML 2020
Gamification of Pure Exploration for Linear Bandits ICML 2020
Structure Adaptive Algorithms for Stochastic Bandits ICML 2020