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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)

Constrained Optimization with Dynamic Bound-scaling for Effective NLP Backdoor Defense ICML 2022 Constrained Prescriptive Trees via Column Generation AAAI 2022 Constrained Stochastic Nonconvex Optimization with State-dependent Markov Data NeurIPS 2022 Context-Based Dynamic Pricing with Partially Linear Demand Model NeurIPS 2022 Contextual Bandits with Knapsacks for a Conversion Model NeurIPS 2022 Contextual Bandits with Large Action Spaces: Made Practical ICML 2022 Contextual Bandits with Smooth Regret: Efficient Learning in Continuous Action Spaces ICML 2022 Contextual Dynamic Pricing with Unknown Noise: Explore-then-UCB Strategy and Improved Regrets NeurIPS 2022 Contextual Information-Directed Sampling ICML 2022 Continuous Deep Q-Learning in Optimal Control Problems: Normalized Advantage Functions Analysis NeurIPS 2022 Continuous-Time Analysis of Accelerated Gradient Methods via Conservation Laws in Dilated Coordinate Systems ICML 2022 Controlling Epidemic Spread using Probabilistic Diffusion Models on Networks AISTATS 2022 Convergence Analysis of Linear Coupling with Inexact Proximal Operator UAI 2022 Convergence of Langevin Monte Carlo in Chi-Squared and Rényi Divergence AISTATS 2022 Convergence of online k-means AISTATS 2022 Convergence Rates of Two-Time-Scale Gradient Descent-Ascent Dynamics for Solving Nonconvex Min-Max Problems L4DC 2022 Convergent Working Set Algorithm for Lasso with Non-Convex Sparse Regularizers AISTATS 2022 Convex Analysis of the Mean Field Langevin Dynamics AISTATS 2022 Convexity Certificates from Hessians NeurIPS 2022 Coordinate Descent on the Orthogonal Group for Recurrent Neural Network Training AAAI 2022 Coordinate Linear Variance Reduction for Generalized Linear Programming NeurIPS 2022 Coordinating Followers to Reach Better Equilibria: End-to-End Gradient Descent for Stackelberg Games AAAI 2022 Coresets for Data Discretization and Sine Wave Fitting AISTATS 2022 Coresets for Relational Data and The Applications NeurIPS 2022 Coresets for Wasserstein Distributionally Robust Optimization Problems NeurIPS 2022