Skip to content
conftrace_

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

1
16
133
440
1,353
1,441
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

Graph Neural Networks Inspired by Classical Iterative Algorithms ICML 2021 Greedy and Random Quasi-Newton Methods with Faster Explicit Superlinear Convergence NeurIPS 2021 Greedy Approximation Algorithms for Active Sequential Hypothesis Testing NeurIPS 2021 Greedy Search Algorithm for Mixed Precision in Post-Training Quantization of Convolutional Neural Network Inspired by Submodular Optimization ACML 2021 Group testing and local search: is there a computational-statistical gap? COLT 2021 Group Testing on a Network AAAI 2021 Hadamard Wirtinger Flow for Sparse Phase Retrieval AISTATS 2021 Harmonious Semantic Line Detection via Maximal Weight Clique Selection CVPR 2021 Heavy Ball Momentum for Conditional Gradient NeurIPS 2021 Heavy Ball Neural Ordinary Differential Equations NeurIPS 2021 Heterogeneous Multi-player Multi-armed Bandits: Closing the Gap and Generalization NeurIPS 2021 Heuristic Search for Approximating One Matrix in Terms of Another Matrix IJCAI 2021 High-Dimensional Bayesian Optimization via Tree-Structured Additive Models AAAI 2021 High-dimensional Experimental Design and Kernel Bandits ICML 2021 High Dimensional Level Set Estimation with Bayesian Neural Network AAAI 2021 Higher-order Derivatives of Weighted Finite-state Machines ACL 2021 Higher Order Kernel Mean Embeddings to Capture Filtrations of Stochastic Processes NeurIPS 2021 High-Order Langevin Diffusion Yields an Accelerated MCMC Algorithm JMLR 2021 High Probability Complexity Bounds for Line Search Based on Stochastic Oracles NeurIPS 2021 High Quality Disparity Remapping With Two-Stage Warping ICCV 2021 Hilbert Sinkhorn Divergence for Optimal Transport CVPR 2021 Histogram Transform Ensembles for Large-scale Regression JMLR 2021 Hogwild! over Distributed Local Data Sets with Linearly Increasing Mini-Batch Sizes AISTATS 2021 Homomorphic Sensing: Sparsity and Noise ICML 2021 HoroPCA: Hyperbolic Dimensionality Reduction via Horospherical Projections ICML 2021