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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)

Team Belief DAG: Generalizing the Sequence Form to Team Games for Fast Computation of Correlated Team Max-Min Equilibria via Regret Minimization ICML 2023 Template-Based Piecewise Affine Regression L4DC 2023 Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning CVPR 2023 Tensor-based Kernel Machines with Structured Inducing Points for Large and High-Dimensional Data AISTATS 2023 Tensor Compressive Sensing Fused Low-Rankness and Local-Smoothness AAAI 2023 Tensor Decompositions Meet Control Theory: Learning General Mixtures of Linear Dynamical Systems ICML 2023 The Behavior and Convergence of Local Bayesian Optimization NeurIPS 2023 The Computational Complexity of Concise Hypersphere Classification ICML 2023 The Computational Complexity of Finding Stationary Points in Non-Convex Optimization COLT 2023 The Computational Complexity of Single-Player Imperfect-Recall Games IJCAI 2023 The Distortion of Binomial Voting Defies Expectation NeurIPS 2023 The Expressive Power of Ad-Hoc Constraints for Modelling CSPs AAAI 2023 The Fast Johnson-Lindenstrauss Transform Is Even Faster ICML 2023 The First Proven Performance Guarantees for the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) on a Combinatorial Optimization Problem IJCAI 2023 The Impact of the Geometric Properties of the Constraint Set in Safe Optimization with Bandit Feedback L4DC 2023 The Implicit Regularization of Momentum Gradient Descent in Overparametrized Models AAAI 2023 The Linear Distance Traveling Tournament Problem Allows an EPTAS AAAI 2023 The Monge Gap: A Regularizer to Learn All Transport Maps ICML 2023 The multimarginal optimal transport formulation of adversarial multiclass classification JMLR 2023 Theoretical and Numerical Analysis of 3D Reconstruction Using Point and Line Incidences ICCV 2023 Theoretical Bounds on the Network Community Profile from Low-rank Semi-definite Programming ICML 2023 The Parameterized Complexity of Network Microaggregation AAAI 2023 The Power of Learned Locally Linear Models for Nonlinear Policy Optimization ICML 2023 The Power of Preconditioning in Overparameterized Low-Rank Matrix Sensing ICML 2023 The Power of Uniform Sampling for k-Median ICML 2023