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
'10
'15
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Papers (including subtopics)
On the complexity of finding stationary points of smooth functions in one dimension
ALT 2023
On the Complexity of Representation Learning in Contextual Linear Bandits
AISTATS 2023
On the Convergence of AdaGrad(Norm) on R^d: Beyond Convexity, Non-Asymptotic Rate and Acceleration
ICLR 2023
On the Convergence of Distributed Stochastic Bilevel Optimization Algorithms over a Network
AISTATS 2023
On the Convergence of IRLS and Its Variants in Outlier-Robust Estimation
CVPR 2023
On the Convergence of No-Regret Learning Dynamics in Time-Varying Games
NeurIPS 2023
On the Convergence of Stochastic Gradient Descent with Bandwidth-based Step Size
JMLR 2023
On the convergence of the MLE as an estimator of the learning rate in the Exp3 algorithm
ICML 2023
On the Convergence to a Global Solution of Shuffling-Type Gradient Algorithms
NeurIPS 2023
On the Efficacy of Sampling Adapters
ACL 2023
On the Existence of a Complexity in Fixed Budget Bandit Identification
COLT 2023
On the Generalization Error of Stochastic Mirror Descent for Quadratically-Bounded Losses: an Improved Analysis
NeurIPS 2023
On the Interplay Between Misspecification and Sub-optimality Gap in Linear Contextual Bandits
ICML 2023
On the Interplay between Social Welfare and Tractability of Equilibria
NeurIPS 2023
On the Lower Bound of Minimizing Polyak-Łojasiewicz functions
COLT 2023
On the Minimax Regret for Online Learning with Feedback Graphs
NeurIPS 2023
On the Optimality of Misspecified Kernel Ridge Regression
ICML 2023
On the Optimality of Nuclear-norm-based Matrix Completion for Problems with Smooth Non-linear Structure
JMLR 2023
On the Robustness of Mechanism Design under Total Variation Distance
NeurIPS 2023
On the Role of Memory in Robust Opinion Dynamics
IJCAI 2023
On the role of model uncertainties in Bayesian optimisation
UAI 2023
On the Sublinear Regret of GP-UCB
NeurIPS 2023
On Unbalanced Optimal Transport: Gradient Methods, Sparsity and Approximation Error
JMLR 2023
On Universal Portfolios with Continuous Side Information
AISTATS 2023
On User-Level Private Convex Optimization
ICML 2023