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)

Proving Linear Mode Connectivity of Neural Networks via Optimal Transport AISTATS 2024 Proving Olympiad Algebraic Inequalities without Human Demonstrations NeurIPS 2024 Public Event Scheduling with Busy Agents IJCAI 2024 Pudica: Toward Near-Zero Queuing Delay in Congestion Control for Cloud Gaming NSDI 2024 Pure Differential Privacy for Functional Summaries with a Laplace-like Process JMLR 2024 Pure Exploration in Bandits with Linear Constraints AISTATS 2024 Pursuing Overall Welfare in Federated Learning through Sequential Decision Making ICML 2024 Pursuit of the Cluster Structure of Network Lasso: Recovery Condition and Non-convex Extension JMLR 2024 Putting Gale & Shapley to Work: Guaranteeing Stability Through Learning NeurIPS 2024 PyPop7: A Pure-Python Library for Population-Based Black-Box Optimization JMLR 2024 QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration JMLR 2024 QGFN: Controllable Greediness with Action Values NeurIPS 2024 QGym: Scalable Simulation and Benchmarking of Queuing Network Controllers NeurIPS 2024 QLABGrad: A Hyperparameter-Free and Convergence-Guaranteed Scheme for Deep Learning AAAI 2024 QN-Mixer: A Quasi-Newton MLP-Mixer Model for Sparse-View CT Reconstruction CVPR 2024 Quadratic Quantum Variational Monte Carlo NeurIPS 2024 Quantifying intrinsic causal contributions via structure preserving interventions AISTATS 2024 Quantitative Convergences of Lie Group Momentum Optimizers NeurIPS 2024 Quantum algorithm for large-scale market equilibrium computation NeurIPS 2024 Quantum Algorithm for Online Exp-concave Optimization ICML 2024 Quantum Algorithms and Lower Bounds for Finite-Sum Optimization ICML 2024 Quantum Algorithms for Non-smooth Non-convex Optimization NeurIPS 2024 Quantum Deep Equilibrium Models NeurIPS 2024 Quantum Theory and Application of Contextual Optimal Transport ICML 2024 Quasi-Monte Carlo Features for Kernel Approximation ICML 2024