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)
Online Variance Reduction for Stochastic Optimization
COLT 2018
On Markov Chain Gradient Descent
NeurIPS 2018
On Matching Pursuit and Coordinate Descent
ICML 2018
On Misinformation Containment in Online Social Networks
NeurIPS 2018
On Nesting Monte Carlo Estimators
ICML 2018
On Neuronal Capacity
NeurIPS 2018
On Oracle-Efficient PAC RL with Rich Observations
NeurIPS 2018
On Q-learning Convergence for Non-Markov Decision Processes
IJCAI 2018
On Statistical Optimality of Variational Bayes
AISTATS 2018
On the Behavior of Intrinsically High-Dimensional Spaces: Distances, Direct and Reverse Nearest Neighbors, and Hubness
JMLR 2018
On the Convergence and Robustness of Training GANs with Regularized Optimal Transport
NeurIPS 2018
On the Convergence of Adam and Beyond
ICLR 2018
On the Convergence of PatchMatch and Its Variants
CVPR 2018
On the Convergence Properties of a K-step Averaging Stochastic Gradient Descent Algorithm for Nonconvex Optimization
IJCAI 2018
On the Cost Complexity of Crowdsourcing
IJCAI 2018
On the Dimensionality of Word Embedding
NeurIPS 2018
On the Discrimination-Generalization Tradeoff in GANs
ICLR 2018
On the Efficiency of Data Collection for Crowdsourced Classification
IJCAI 2018
On the Expressive Power of Overlapping Architectures of Deep Learning
ICLR 2018
On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups
ICML 2018
On the Global Convergence of Gradient Descent for Over-parameterized Models using Optimal Transport
NeurIPS 2018
On the Help of Bounded Shot Verifiers, Comparators and Standardisers
for Learnability in Inductive Inference
ALT 2018
On the Impact of Various Types of Noise on Neural Machine Translation
ACL 2018
On the Implicit Bias of Dropout
ICML 2018
On the importance of single directions for generalization
ICLR 2018