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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Papers (including subtopics)
On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond
JMLR 2020
On Coresets for Regularized Regression
ICML 2020
One-Bit Compressed Sensing via One-Shot Hard Thresholding
UAI 2020
One Comment from One Perspective: An Effective Strategy for Enhancing Automatic Music Comment
COLING 2020
One Ring to Rule Them All: Certifiably Robust Geometric Perception with Outliers
NeurIPS 2020
One Sample Stochastic Frank-Wolfe
AISTATS 2020
On Gradient Descent Ascent for Nonconvex-Concave Minimax Problems
ICML 2020
On Importance Sampling-Based Evaluation of Latent Language Models
ACL 2020
Online Agnostic Boosting via Regret Minimization
NeurIPS 2020
Online Algorithm for Unsupervised Sequential Selection with Contextual Information
NeurIPS 2020
Online Algorithms for Multi-shop Ski Rental with Machine Learned Advice
NeurIPS 2020
Online and stochastic optimization beyond Lipschitz continuity: A Riemannian approach
ICLR 2020
Online Batch Decision-Making with High-Dimensional Covariates
AISTATS 2020
Online Continuous DR-Submodular Maximization with Long-Term Budget Constraints
AISTATS 2020
Online Convex Optimization in the Random Order Model
ICML 2020
Online Convex Optimization Over Erdos-Renyi Random Networks
NeurIPS 2020
Online Convex Optimization with Perturbed Constraints: Optimal Rates against Stronger Benchmarks
AISTATS 2020
Online Dense Subgraph Discovery via Blurred-Graph Feedback
ICML 2020
Online Directional Speech Enhancement Using Geometrically Constrained Independent Vector Analysis
Interspeech 2020
Online Evaluation of Audiences for Targeted Advertising via Bandit Experiments
AAAI 2020
Online Influence Maximization under Linear Threshold Model
NeurIPS 2020
Online Learning for Active Cache Synchronization
ICML 2020
Online Learning in Changing Environments
IJCAI 2020
Online Learning in Contextual Bandits using Gated Linear Networks
NeurIPS 2020
Online Learning Using Only Peer Prediction
AISTATS 2020