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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
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2000
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Papers (including subtopics)

Approximation Guarantees of Stochastic Greedy Algorithms for Subset Selection IJCAI 2018 A Primal-Dual Analysis of Global Optimality in Nonconvex Low-Rank Matrix Recovery ICML 2018 A Reactive Strategy for High-Level Consistency During Search IJCAI 2018 A Real-Time Game Theoretic Planner for Autonomous Two-Player Drone Racing RSS 2018 A Robust Learning Approach for Regression Models Based on Distributionally Robust Optimization JMLR 2018 ASAP: Fast, Approximate Graph Pattern Mining at Scale OSDI 2018 A Scalable Scheme for Counting Linear Extensions IJCAI 2018 A Simple Proximal Stochastic Gradient Method for Nonsmooth Nonconvex Optimization NeurIPS 2018 A Spectral Approach for the Design of Experiments: Design, Analysis and Algorithms JMLR 2018 A Stochastic Differential Equation Framework for Guiding Online User Activities in Closed Loop AISTATS 2018 A Structural Approach to Activity Selection IJCAI 2018 A sum-product algorithm with polynomials for computing exact derivatives of the likelihood in Bayesian networks PGM 2018 ASVRG: Accelerated Proximal SVRG ACML 2018 Asymptotic optimality of adaptive importance sampling NeurIPS 2018 Asynchronous Decentralized Parallel Stochastic Gradient Descent ICML 2018 Asynchronous Doubly Stochastic Group Regularized Learning AISTATS 2018 Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization ICML 2018 A Temporally Sensitive Submodularity Framework for Timeline Summarization CoNLL 2018 A theory on the absence of spurious solutions for nonconvex and nonsmooth optimization NeurIPS 2018 A Tight Bound of Hard Thresholding JMLR 2018 ATOMO: Communication-efficient Learning via Atomic Sparsification NeurIPS 2018 A Two-Stage Penalized Least Squares Method for Constructing Large Systems of Structural Equations JMLR 2018 A Two-Step Computation of the Exact GAN Wasserstein Distance ICML 2018 A Unified Dynamic Approach to Sparse Model Selection AISTATS 2018 A Unified Framework for Nonconvex Low-Rank plus Sparse Matrix Recovery AISTATS 2018