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
2
6
6
5
16
67
72
80
102
133
171
219
398
425
440
487
649
812
1,162
1,353
1,487
1,474
1,600
1,870
1,441
372
2000
'5
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'25
Papers (including subtopics)
Self-Explaining Deviations for Coordination
NeurIPS 2022
Selling Data To a Machine Learner: Pricing via Costly Signaling
ICML 2022
Semi-infinitely Constrained Markov Decision Processes
NeurIPS 2022
Semi-relaxed Gromov-Wasserstein divergence and applications on graphs
ICLR 2022
Seq2Pat: Sequence-to-Pattern Generation for Constraint-Based Sequential Pattern Mining
AAAI 2022
Sequential and Parallel Constrained Max-value Entropy Search via Information Lower Bound
ICML 2022
Sequential Blocked Matching
AAAI 2022
Sequential Information Design: Learning to Persuade in the Dark
NeurIPS 2022
Sequential Vaccine Allocation with Delayed Feedback
IJCAI 2022
Set Interdependence Transformer: Set-to-Sequence Neural Networks for Permutation Learning and Structure Prediction
IJCAI 2022
Set-valued prediction in hierarchical classification with constrained representation complexity
UAI 2022
SGD with Coordinate Sampling: Theory and Practice
JMLR 2022
Shape And Structure Preserving Differential Privacy
NeurIPS 2022
Sharp Analysis of Random Fourier Features in Classification
AAAI 2022
Sharp Analysis of Stochastic Optimization under Global Kurdyka-Lojasiewicz Inequality
NeurIPS 2022
Sharpened Quasi-Newton Methods: Faster Superlinear Rate and Larger Local Convergence Neighborhood
ICML 2022
Sharper Rates for Separable Minimax and Finite Sum Optimization via Primal-Dual Extragradient Methods
COLT 2022
Sharp Restricted Isometry Property Bounds for Low-Rank Matrix Recovery Problems with Corrupted Measurements
AAAI 2022
Shrub Ensembles for Online Classification
AAAI 2022
Signaling in Posted Price Auctions
AAAI 2022
Signal Recovery with Non-Expansive Generative Network Priors
NeurIPS 2022
Simple and Optimal Greedy Online Contention Resolution Schemes
NeurIPS 2022
Simple Mechanisms for Welfare Maximization in Rich Advertising Auctions
NeurIPS 2022
Simulation-guided Beam Search for Neural Combinatorial Optimization
NeurIPS 2022
Simultaneously Learning Stochastic and Adversarial Bandits under the Position-Based Model
AAAI 2022