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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
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2000
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Papers (including subtopics)

Pareto Optimal Model Selection in Linear Bandits AISTATS 2022 Pareto Set Learning for Expensive Multi-Objective Optimization NeurIPS 2022 Pareto Set Learning for Neural Multi-Objective Combinatorial Optimization ICLR 2022 Partially Does It: Towards Scene-Level FG-SBIR With Partial Input CVPR 2022 Partial Wasserstein Covering AAAI 2022 Participatory Budgeting with Donations and Diversity Constraints AAAI 2022 Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams AAAI 2022 PDE-Based Optimal Strategy for Unconstrained Online Learning ICML 2022 PEA*+IDA*: An Improved Hybrid Memory-Restricted Algorithm AAAI 2022 Penalizing Divergence: Multi-Parallel Translation for Low-Resource Languages of North America COLING 2022 Perfect Sampling from Pairwise Comparisons NeurIPS 2022 Permutation-Based SGD: Is Random Optimal? ICLR 2022 Permutation Compressors for Provably Faster Distributed Nonconvex Optimization ICLR 2022 Permutation Search of Tensor Network Structures via Local Sampling ICML 2022 Personalized Online Federated Learning with Multiple Kernels NeurIPS 2022 Personalized Public Policy Analysis in Social Sciences Using Causal-Graphical Normalizing Flows AAAI 2022 Pessimism for Offline Linear Contextual Bandits using ℓ_p Confidence Sets NeurIPS 2022 Pessimism meets VCG: Learning Dynamic Mechanism Design via Offline Reinforcement Learning ICML 2022 Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets ICML 2022 p-Generalized Probit Regression and Scalable Maximum Likelihood Estimation via Sketching and Coresets AISTATS 2022 Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks NeurIPS 2022 Picking the Right Winner: Why Tie-Breaking in Crowdsourcing Contests Matters IJCAI 2022 Pizza Sharing Is PPA-Hard AAAI 2022 Placing Green Bridges Optimally, with Habitats Inducing Cycles IJCAI 2022 Planning with Explanations for Finding Desired Meeting Points on Graphs AAAI 2022