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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
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2000
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Papers (including subtopics)

Asynchronous Communication Aware Multi-Agent Task Allocation IJCAI 2023 Asynchronous Distributed Bilevel Optimization ICLR 2023 Asynchronous Iterations in Optimization: New Sequence Results and Sharper Algorithmic Guarantees JMLR 2023 Asynchronous Proportional Response Dynamics: Convergence in Markets with Adversarial Scheduling NeurIPS 2023 A theory of representation learning gives a deep generalisation of kernel methods ICML 2023 Auditing Fairness by Betting NeurIPS 2023 Augmented Sparsifiers for Generalized Hypergraph Cuts JMLR 2023 Augmenting Automated Spectrum Based Fault Localization for Multiple Faults IJCAI 2023 A Unified Approach for Maximizing Continuous DR-submodular Functions NeurIPS 2023 A Unified Approach to Controlling Implicit Regularization via Mirror Descent JMLR 2023 A Unified Discretization Framework for Differential Equation Approach with Lyapunov Arguments for Convex Optimization NeurIPS 2023 A Unified Framework for Optimization-Based Graph Coarsening JMLR 2023 A Unified Framework for Rank-based Loss Minimization NeurIPS 2023 A Unified Framework for Uniform Signal Recovery in Nonlinear Generative Compressed Sensing NeurIPS 2023 A Unified Spatial-Angular Structured Light for Single-View Acquisition of Shape and Reflectance CVPR 2023 AutoGraph: Optimizing DNN Computation Graph for Parallel GPU Kernel Execution AAAI 2023 Automating Rigid Origami Design IJCAI 2023 A Variance-Reduced and Stabilized Proximal Stochastic Gradient Method with Support Identification Guarantees for Structured Optimization AISTATS 2023 A Variational Perspective on High-Resolution ODEs NeurIPS 2023 Average Adjusted Association: Efficient Estimation with High Dimensional Confounders AISTATS 2023 Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity ICML 2023 A view of mini-batch SGD via generating functions: conditions of convergence, phase transitions, benefit from negative momenta. ICLR 2023 Balancing Risk and Reward: A Batched-Bandit Strategy for Automated Phased Release NeurIPS 2023 Ballot Length in Instant Runoff Voting AAAI 2023 Bandit Multi-linear DR-Submodular Maximization and Its Applications on Adversarial Submodular Bandits ICML 2023