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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
1,441
2000
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Papers (including subtopics)

Accelerating Column Generation via Flexible Dual Optimal Inequalities with Application to Entity Resolution AAAI 2020 Accelerating Primal Solution Findings for Mixed Integer Programs Based on Solution Prediction AAAI 2020 Accelerating Ranking in E-Commerce Search Engines through Contextual Factor Selection AAAI 2020 Accelerating Stratified Sampling SGD by Reconstructing Strata IJCAI 2020 Acceleration through spectral density estimation ICML 2020 Acceleration with a Ball Optimization Oracle NeurIPS 2020 Accurate polyglot semantic parsing with DAG grammars EMNLP 2020 A Certifiably Globally Optimal Solution to Generalized Essential Matrix Estimation CVPR 2020 Achieving Fairness in the Stochastic Multi-Armed Bandit Problem AAAI 2020 A Class of Algorithms for General Instrumental Variable Models NeurIPS 2020 A Class of Parallel Doubly Stochastic Algorithms for Large-Scale Learning JMLR 2020 A Continuous-Time Mirror Descent Approach to Sparse Phase Retrieval NeurIPS 2020 A Continuous-time Perspective for Modeling Acceleration in Riemannian Optimization AISTATS 2020 A convex optimization formulation for multivariate regression NeurIPS 2020 Acoustic Signal Enhancement Using Relative Harmonic Coefficients: Spherical Harmonics Domain Approach Interspeech 2020 Active Learning of Conditional Mean Embeddings via Bayesian Optimisation UAI 2020 AdaGrad stepsizes: Sharp convergence over nonconvex landscapes JMLR 2020 Adapting Stable Matchings to Evolving Preferences AAAI 2020 Adapting to Smoothness: A More Universal Algorithm for Online Convex Optimization AAAI 2020 Adaptive Aggregation of Arbitrary Online Trackers with a Regret Bound WACV 2020 Adaptive Experimental Design with Temporal Interference: A Maximum Likelihood Approach NeurIPS 2020 Adaptive Exploration in Linear Contextual Bandit AISTATS 2020 Adaptive Greedy versus Non-Adaptive Greedy for Influence Maximization AAAI 2020 Adaptive Hyper-box Matching for Interpretable Individualized Treatment Effect Estimation UAI 2020 Adaptive Importance Sampling for Finite-Sum Optimization and Sampling with Decreasing Step-Sizes NeurIPS 2020