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 difficulty of unbiased alpha divergence minimization
ICML 2021
On the distributional properties of adaptive gradients
UAI 2021
On the effects of quantisation on model uncertainty in Bayesian neural networks
UAI 2021
On the Effects of Transformer Size on In- and Out-of-Domain Calibration
EMNLP 2021
On the Equivalence between Neural Network and Support Vector Machine
NeurIPS 2021
On the Estimation Bias in Double Q-Learning
NeurIPS 2021
On the Estimation of Network Complexity: Dimension of Graphons
JMLR 2021
On the Existence of The Adversarial Bayes Classifier
NeurIPS 2021
On the Expected Complexity of Maxout Networks
NeurIPS 2021
On the Explicit Role of Initialization on the Convergence and Implicit Bias of Overparametrized Linear Networks
ICML 2021
On the Expressivity of Markov Reward
NeurIPS 2021
On the Faster Alternating Least-Squares for CCA
AISTATS 2021
On-the-fly Rectification for Robust Large-Vocabulary Topic Inference
ICML 2021
On the Generalization Power of Overfitted Two-Layer Neural Tangent Kernel Models
ICML 2021
On the Generalization Properties of Adversarial Training
AISTATS 2021
On the geometry of generalization and memorization in deep neural networks
ICLR 2021
On the Hardness of Robust Classification
JMLR 2021
On the High Accuracy Limitation of Adaptive Property Estimation
AISTATS 2021
On the Impact of Random Seeds on the Fairness of Clinical Classifiers
NAACL 2021
On the Implicit Bias of Initialization Shape: Beyond Infinitesimal Mirror Descent
ICML 2021
On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning
AISTATS 2021
On the Impossibility of Global Convergence in Multi-Loss Optimization
ICLR 2021
On the Influence of Masking Policies in Intermediate Pre-training
EMNLP 2021
On the Inherent Regularization Effects of Noise Injection During Training
ICML 2021
On the interplay between data structure and loss function in classification problems
NeurIPS 2021