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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
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2000
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Papers (including subtopics)

Convergence of Proximal Point and Extragradient-Based Methods Beyond Monotonicity: the Case of Negative Comonotonicity ICML 2023 Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse Problems NeurIPS 2023 Convex and Non-convex Optimization Under Generalized Smoothness NeurIPS 2023 Convex Bounds on the Softmax Function with Applications to Robustness Verification AISTATS 2023 Convex Geometric Motion Planning on Lie Groups via Moment Relaxation RSS 2023 Cooperation or Competition: Avoiding Player Domination for Multi-Target Robustness via Adaptive Budgets CVPR 2023 Cooperative Inverse Decision Theory for Uncertain Preferences AISTATS 2023 Coordinate Descent for SLOPE AISTATS 2023 Coordinate Descent Methods for DC Minimization: Optimality Conditions and Global Convergence AAAI 2023 Coordinate Descent Methods for Fractional Minimization ICML 2023 Coordinating Distributed Example Orders for Provably Accelerated Training NeurIPS 2023 Core-sets for Fair and Diverse Data Summarization NeurIPS 2023 CORNN: Convex optimization of recurrent neural networks for rapid inference of neural dynamics NeurIPS 2023 Correlation Aware Sparsified Mean Estimation Using Random Projection NeurIPS 2023 COT: Unsupervised Domain Adaptation With Clustering and Optimal Transport CVPR 2023 Counting Background Knowledge Consistent Markov Equivalent Directed Acyclic Graphs UAI 2023 Counting Distinct Elements in the Turnstile Model with Differential Privacy under Continual Observation NeurIPS 2023 Counting Knot Mosaics with ALLSAT (Student Abstract) AAAI 2023 Coupled Variational Autoencoder ICML 2023 Covariate balancing using the integral probability metric for causal inference ICML 2023 Covariate-Shift Generalization via Random Sample Weighting AAAI 2023 Curvature and complexity: Better lower bounds for geodesically convex optimization COLT 2023 Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization ICML 2023 DADAO: Decoupled Accelerated Decentralized Asynchronous Optimization ICML 2023 Dagster: Parallel Structured Search AAAI 2023