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)
On the Provable Generalization of Recurrent Neural Networks
NeurIPS 2021
On the PTAS for Maximin Shares in an Indivisible Mixed Manna
AAAI 2021
On the Random Conjugate Kernel and Neural Tangent Kernel
ICML 2021
On the Rate of Convergence of Regularized Learning in Games: From Bandits and Uncertainty to Optimism and Beyond
NeurIPS 2021
On the Representation of Solutions to Elliptic PDEs in Barron Spaces
NeurIPS 2021
On the Representation Power of Set Pooling Networks
NeurIPS 2021
On the Role of Data in PAC-Bayes Bounds
AISTATS 2021
On the Role of Optimization in Double Descent: A Least Squares Study
NeurIPS 2021
On the Sample Complexity of Learning under Geometric Stability
NeurIPS 2021
On the Sample Complexity of Privately Learning Axis-Aligned Rectangles
NeurIPS 2021
On the Sample Complexity of Privately Learning Unbounded High-Dimensional Gaussians
ALT 2021
On the Second-order Convergence Properties of Random Search Methods
NeurIPS 2021
On the Softmax Bottleneck of Recurrent Language Models
AAAI 2021
On the Stability of Random Matrix Product with Markovian Noise: Application to Linear Stochastic Approximation and TD Learning
COLT 2021
On the Stability of System Rankings at WMT
EMNLP 2021
On the Stability Properties and the Optimization Landscape of Training Problems with Squared Loss for Neural Networks and General Nonlinear Conic Approximation Schemes
JMLR 2021
On the Stochastic Stability of Deep Markov Models
NeurIPS 2021
On the Suboptimality of Negative Momentum for Minimax Optimization
AISTATS 2021
On the Suboptimality of Thompson Sampling in High Dimensions
NeurIPS 2021
On the Theory of Implicit Deep Learning: Global Convergence with Implicit Layers
ICLR 2021
On the Theory of Policy Gradient Methods: Optimality, Approximation, and Distribution Shift
JMLR 2021
On the Theory of Reinforcement Learning with Once-per-Episode Feedback
NeurIPS 2021
On the Tractability of SHAP Explanations
AAAI 2021
On the Transferability of Minimal Prediction Preserving Inputs in Question Answering
NAACL 2021
On the Transformer Growth for Progressive BERT Training
NAACL 2021