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Optimization

14,850 papers (55 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Continuous Optimization (4,424) Stochastic Methods (2,991) Combinatorial Optimization (2,615) Online Algorithms (2,404) Optimization (1,521) Game Theory (1,046) Convex Optimization (864) Discrete Optimization (721) Optimal Transport (474) Sparse Optimization (416) Optimal Control (271) Global Optimization (200) Non-Convex Optimization (182) Distributed Learning (164) Approximation Algorithms (162) Multi-Objective Optimization (151) Distributed Optimization (136) Bayesian Optimization (132) Theory (109) Compressed Sensing (102) Algorithms (89) Robust Optimization (86) Submodular Optimization (77) Kernel Methods (75) Evolutionary Algorithm (72) Linear Programming (54) Tensor Decomposition (48) Bilevel Optimization (42) Integer Programming (38) Matrix Completion (33) Algorithm (21) Regularization (11)

Papers per year

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16
133
440
1,353
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2000
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Papers (including subtopics)

Query Answering with Guarded Existential Rules under Stable Model Semantics AAAI 2020 Random extrapolation for primal-dual coordinate descent ICML 2020 Random Fourier Features via Fast Surrogate Leverage Weighted Sampling AAAI 2020 Randomised Gaussian Process Upper Confidence Bound for Bayesian Optimisation IJCAI 2020 Randomization matters How to defend against strong adversarial attacks ICML 2020 Randomized Block-Diagonal Preconditioning for Parallel Learning ICML 2020 Randomized Exploration in Generalized Linear Bandits AISTATS 2020 Randomized tests for high-dimensional regression: A more efficient and powerful solution NeurIPS 2020 Random Reshuffling is Not Always Better NeurIPS 2020 Random Reshuffling: Simple Analysis with Vast Improvements NeurIPS 2020 Rank-based Lasso - efficient methods for high-dimensional robust model selection JMLR 2020 Rationalizing Text Matching: Learning Sparse Alignments via Optimal Transport ACL 2020 Ratio Trace Formulation of Wasserstein Discriminant Analysis NeurIPS 2020 RATQ: A Universal Fixed-Length Quantizer for Stochastic Optimization AISTATS 2020 Real-Time Dispatching of Large-Scale Ride-Sharing Systems: Integrating Optimization, Machine Learning, and Model Predictive Control IJCAI 2020 Real-Time Route Search by Locations AAAI 2020 Reasoning about Uncertainties in Discrete-Time Dynamical Systems using Polynomial Forms. NeurIPS 2020 Recent Developments in Boolean Matrix Factorization IJCAI 2020 Recht-Re Noncommutative Arithmetic-Geometric Mean Conjecture is False ICML 2020 Recovery of a Mixture of Gaussians by Sum-of-Norms Clustering JMLR 2020 Reduction and Local Search for Weighted Graph Coloring Problem AAAI 2020 Refined bounds for algorithm configuration: The knife-edge of dual class approximability ICML 2020 Refining Tournament Solutions via Margin of Victory AAAI 2020 Regression under Human Assistance AAAI 2020 Regret Bound for Safe Gaussian Process Bandit Optimization L4DC 2020