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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)

Query-Aware Quantization for Maximum Inner Product Search AAAI 2023 Radial Basis Approximation of Tensor Fields on Manifolds: From Operator Estimation to Manifold Learning JMLR 2023 RADIUS: Risk-Aware, Real-Time, Reachability-Based Motion Planning RSS 2023 Random Assignment of Indivisible Goods under Constraints IJCAI 2023 Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds ICML 2023 Randomized Greedy Learning for Non-monotone Stochastic Submodular Maximization Under Full-bandit Feedback AISTATS 2023 Randomized Primal-Dual Methods with Adaptive Step Sizes AISTATS 2023 RandProx: Primal-Dual Optimization Algorithms with Randomized Proximal Updates ICLR 2023 Rank-1 Matrix Completion with Gradient Descent and Small Random Initialization NeurIPS 2023 Rank Aggregation Using Scoring Rules AAAI 2023 Reaching Goals is Hard: Settling the Sample Complexity of the Stochastic Shortest Path ALT 2023 Re-Basin via Implicit Sinkhorn Differentiation CVPR 2023 Recent Developments in Data-Driven Algorithms for Discrete Optimization AAAI 2023 Recipe2Video: Synthesizing Personalized Videos From Recipe Texts WACV 2023 Reconstructing an Epidemic Outbreak Using Steiner Connectivity AAAI 2023 Reconstructing Ultrametric Trees from Noisy Experiments ALT 2023 Recovering Simultaneously Structured Data via Non-Convex Iteratively Reweighted Least Squares NeurIPS 2023 Recovery Bounds on Class-Based Optimal Transport: A Sum-of-Norms Regularization Framework ICML 2023 Rectified Pessimistic-Optimistic Learning for Stochastic Continuum-armed Bandit with Constraints L4DC 2023 Recursive Quantile Estimation: Non-Asymptotic Confidence Bounds JMLR 2023 Reducing Communication for Split Learning by Randomized Top-k Sparsification IJCAI 2023 Reducing Discretization Error in the Frank-Wolfe Method AISTATS 2023 Reducing Training Time in Cross-Silo Federated Learning Using Multigraph Topology ICCV 2023 Refined Convergence and Topology Learning for Decentralized SGD with Heterogeneous Data AISTATS 2023 Refined Mechanism Design for Approximately Structured Priors via Active Regression NeurIPS 2023