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 Robust Multiclass Learnability
NeurIPS 2022
On Sample Optimality in Personalized Collaborative and Federated Learning
NeurIPS 2022
On Scrambling Phenomena for Randomly Initialized Recurrent Networks
NeurIPS 2022
On Some Fast And Robust Classifiers For High Dimension, Low Sample Size Data
AISTATS 2022
On Structured Filtering-Clustering: Global Error Bound and Optimal First-Order Algorithms
AISTATS 2022
On testability of the front-door model via Verma constraints
UAI 2022
On the approximation properties of recurrent encoder-decoder architectures
ICLR 2022
On the Assumptions of Synthetic Control Methods
AISTATS 2022
On the Benefits of Large Learning Rates for Kernel Methods
COLT 2022
On the benefits of maximum likelihood estimation for Regression and Forecasting
ICLR 2022
On the Calibration of Pre-trained Language Models using Mixup Guided by Area Under the Margin and Saliency
ACL 2022
On the Certified Robustness for Ensemble Models and Beyond
ICLR 2022
On the Channel Pruning using Graph Convolution Network for Convolutional Neural Network Acceleration
IJCAI 2022
On the Complexity of Adversarial Decision Making
NeurIPS 2022
On the Complexity of Approximating Multimarginal Optimal Transport
JMLR 2022
On the Complexity of Calculating Approval-Based Winners in Candidates-Embedded Metrics
IJCAI 2022
On the Complexity of Inductively Learning Guarded Clauses
AAAI 2022
On the Computational Complexity of Model Reconciliations
IJCAI 2022
On the Consistency of Max-Margin Losses
AISTATS 2022
On the consistent estimation of optimal Receiver Operating Characteristic (ROC) curve
NeurIPS 2022
On the Convergence of Certified Robust Training with Interval Bound Propagation
ICLR 2022
On the Convergence of Continuous Constrained Optimization for Structure Learning
AISTATS 2022
On the Convergence of Decentralized Adaptive
Gradient Methods
ACML 2022
On the Convergence of Fictitious Play: A Decomposition Approach
IJCAI 2022
On the Convergence of Inexact Predictor-Corrector Methods for Linear Programming
ICML 2022