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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)

Weighted Maxmin Fair Share Allocation of Indivisible Chores IJCAI 2019 Weighted Oblique Decision Trees AAAI 2019 When Samples Are Strategically Selected ICML 2019 Which Factorization Machine Modeling Is Better: A Theoretical Answer with Optimal Guarantee AAAI 2019 Who is Afraid of Big Bad Minima? Analysis of gradient-flow in spiked matrix-tensor models NeurIPS 2019 Width Provably Matters in Optimization for Deep Linear Neural Networks ICML 2019 Word Embedding as Maximum A Posteriori Estimation AAAI 2019 Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth Optimization IJCAI 2019 ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization NeurIPS 2019 ℓ_1 Regression using Lewis Weights Preconditioning and Stochastic Gradient Descent COLT 2018 3D Registration of Curves and Surfaces Using Local Differential Information CVPR 2018 A Bandit Approach to Sequential Experimental Design with False Discovery Control NeurIPS 2018 A Better Resource Allocation Algorithm with Semi-Bandit Feedback ALT 2018 A Block Coordinate Ascent Algorithm for Mean-Variance Optimization NeurIPS 2018 A Bridging Framework for Model Optimization and Deep Propagation NeurIPS 2018 Accelerated Difference of Convex functions Algorithm and its Application to Sparse Binary Logistic Regression IJCAI 2018 Accelerated Gradient Descent Escapes Saddle Points Faster than Gradient Descent COLT 2018 Accelerated Spectral Ranking ICML 2018 Accelerated Stochastic Matrix Inversion: General Theory and Speeding up BFGS Rules for Faster Second-Order Optimization NeurIPS 2018 Accelerated Stochastic Mirror Descent: From Continuous-time Dynamics to Discrete-time Algorithms AISTATS 2018 Accelerating Cross-Validation in Multinomial Logistic Regression with ℓ_1-Regularization JMLR 2018 Accelerating Greedy Coordinate Descent Methods ICML 2018 Acceleration through Optimistic No-Regret Dynamics NeurIPS 2018 A Certifiably Globally Optimal Solution to the Non-Minimal Relative Pose Problem CVPR 2018 A Cloaking Mechanism to Mitigate Market Manipulation IJCAI 2018