Optimization & Theory
43,292 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Optimization (17,731)
Learning Theory (6,809)
Bayesian Inference (6,267)
Theory (5,579)
Statistical Learning (4,564)
Neural Network Optimization (4,155)
Stochastic Processes (2,948)
Stochastic Methods (1,283)
Loss Functions (1,220)
Distributed Learning (1,202)
Online Algorithms (1,013)
Statistics (822)
Generalization (376)
Information Theory (370)
Sample Complexity (282)
Sparse Optimization (241)
Game Theory (151)
Convex Optimization (132)
Optimal Transport (104)
Robust Optimization (84)
Distributed Optimization (73)
Approximation Algorithms (33)
Papers per year
1
14
29
44
31
52
189
195
212
235
352
382
457
787
816
828
1,066
1,391
1,913
3,012
3,646
4,303
4,450
5,357
6,155
5,854
1,521
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
Optimal Exploitation of Clustering and History Information in Multi-armed Bandit
IJCAI 2019
Optimal Interdiction of Urban Criminals with the Aid of Real-Time Information
AAAI 2019
Optimality Implies Kernel Sum Classifiers are Statistically Efficient
ICML 2019
Optimal Kronecker-Sum Approximation of Real Time Recurrent Learning
ICML 2019
Optimal Learning of Mallows Block Model
COLT 2019
Optimal Mini-Batch and Step Sizes for SAGA
ICML 2019
Optimal Minimization of the Sum of Three Convex Functions with a Linear Operator
AISTATS 2019
Optimal PAC-Bayesian Posteriors for Stochastic Classifiers and their use for Choice of SVM Regularization Parameter
ACML 2019
Optimal Policies for Observing Time Series and Related Restless Bandit Problems
JMLR 2019
Optimal Pricing in Repeated Posted-Price Auctions with Different Patience of the Seller and the Buyer
NeurIPS 2019
Optimal Sparse Decision Trees
NeurIPS 2019
Optimal Sparsity-Sensitive Bounds for Distributed Mean Estimation
NeurIPS 2019
Optimal Statistical Rates for Decentralised Non-Parametric Regression with Linear Speed-Up
NeurIPS 2019
Optimal Stochastic and Online Learning with Individual Iterates
NeurIPS 2019
Optimal Surveillance of Covert Networks by Minimizing Inverse Geodesic Length
AAAI 2019
Optimal Tensor Methods in Smooth Convex and Uniformly ConvexOptimization
COLT 2019
Optimal Testing in the Experiment-rich Regime
AISTATS 2019
Optimal Transport: Fast Probabilistic Approximation with Exact Solvers
JMLR 2019
Optimal Transport for Multi-source Domain Adaptation under Target Shift
AISTATS 2019
Optimal Transport Maps For Distribution Preserving Operations on Latent Spaces of Generative Models
ICLR 2019
Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation
NeurIPS 2019
Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile
ICLR 2019
Optimistic Regret Minimization for Extensive-Form Games via Dilated Distance-Generating Functions
NeurIPS 2019
Optimization of False Acceptance/Rejection Rates and Decision Threshold for End-to-End Text-Dependent Speaker Verification Systems
Interspeech 2019
Optimization of Inf-Convolution Regularized Nonconvex Composite Problems
AISTATS 2019