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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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Papers (including subtopics)

Wasserstein Distributionally Robust Inverse Multiobjective Optimization AAAI 2021 Wasserstein Distributional Normalization For Robust Distributional Certification of Noisy Labeled Data ICML 2021 Weighted model counting with conditional weights for Bayesian networks UAI 2021 Weighting-based Variable Neighborhood Search for Optimal Camera Placement AAAI 2021 Welfare Guarantees in Schelling Segregation AAAI 2021 When Hashing Met Matching: Efficient Spatio-Temporal Search for Ridesharing AAAI 2021 When is particle filtering efficient for planning in partially observed linear dynamical systems? UAI 2021 When to Hedge in Interactive Services NSDI 2021 When to stop value iteration: stability and near-optimality versus computation L4DC 2021 Why Do Attributes Propagate in Graph Convolutional Neural Networks? AAAI 2021 Winner Determination and Strategic Control in Conditional Approval Voting IJCAI 2021 Wisdom of the Crowd Voting: Truthful Aggregation of Voter Information and Preferences NeurIPS 2021 With Measured Words: Simple Sentence Selection for Black-Box Optimization of Sentence Compression Algorithms EACL 2021 Worst-case Bounds on Power vs. Proportion in Weighted Voting Games with Application to False-name Manipulation IJCAI 2021 Wyner-Ziv Estimators: Efficient Distributed Mean Estimation with Side-Information AISTATS 2021 xER: An Explainable Model for Entity Resolution using an Efficient Solution for the Clique Partitioning Problem NAACL 2021 XOR-CD: Linearly Convergent Constrained Structure Generation ICML 2021 XOR-SGD: provable convex stochastic optimization for decision-making under uncertainty UAI 2021 Zeroth-Order Non-Convex Learning via Hierarchical Dual Averaging ICML 2021 A Bandit Learning Algorithm and Applications to Auction Design NeurIPS 2020 A/B Testing in Dense Large-Scale Networks: Design and Inference NeurIPS 2020 A Catalyst Framework for Minimax Optimization NeurIPS 2020 Accelerated Factored Gradient Descent for Low-Rank Matrix Factorization AISTATS 2020 Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks AISTATS 2020 Accelerated Stochastic Gradient-free and Projection-free Methods ICML 2020