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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
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440
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2000
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Papers (including subtopics)

ZARTS: On Zero-order Optimization for Neural Architecture Search NeurIPS 2022 Zero-Sum Stochastic Stackelberg Games NeurIPS 2022 Zeroth-Order Hard-Thresholding: Gradient Error vs. Expansivity NeurIPS 2022 Zeroth-Order Methods for Convex-Concave Min-max Problems: Applications to Decision-Dependent Risk Minimization AISTATS 2022 Zeroth-Order Negative Curvature Finding: Escaping Saddle Points without Gradients NeurIPS 2022 Zeroth-Order Optimization for Composite Problems with Functional Constraints AAAI 2022 Zonotope Domains for Lagrangian Neural Network Verification NeurIPS 2022 LeadCache: Regret-Optimal Caching in Networks NeurIPS 2021 4D Cloud Scattering Tomography ICCV 2021 A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs NeurIPS 2021 A Blind Block Term Decomposition of High Order Tensors AAAI 2021 A/B/n Testing with Control in the Presence of Subpopulations NeurIPS 2021 Abstract Cores in Implicit Hitting Set MaxSat Solving (Extended Abstract) IJCAI 2021 Abstraction-based branch and bound approach to Q-learning for hybrid optimal control L4DC 2021 Accelerated Algorithms for Smooth Convex-Concave Minimax Problems with O(1/k^2) Rate on Squared Gradient Norm ICML 2021 Accelerated Combinatorial Search for Outlier Detection with Provable Bound on Sub-Optimality AAAI 2021 Accelerated Concurrent Learning Algorithms via Data-Driven Hybrid Dynamics and Nonsmooth ODEs L4DC 2021 Accelerated Learning with Robustness to Adversarial Regressors L4DC 2021 Accelerating Atmospheric Turbulence Simulation via Learned Phase-to-Space Transform ICCV 2021 Accelerating Distributed SGD for Linear Regression using Iterative Pre-Conditioning L4DC 2021 Accelerating Ill-Conditioned Low-Rank Matrix Estimation via Scaled Gradient Descent JMLR 2021 Accelerating Metropolis-Hastings with Lightweight Inference Compilation AISTATS 2021 Acceleration via Fractal Learning Rate Schedules ICML 2021 Accomplice Manipulation of the Deferred Acceptance Algorithm IJCAI 2021 Accumulations of Projections—A Unified Framework for Random Sketches in Kernel Ridge Regression AISTATS 2021