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 Learning Property of Logistic and Softmax Losses for Deep Neural Networks
AAAI 2020
On the limits of cross-domain generalization in automated X-ray prediction
MIDL 2020
On the linearity of large non-linear models: when and why the tangent kernel is constant
NeurIPS 2020
On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them
NeurIPS 2020
On the Max-Min Fair Stochastic Allocation of Indivisible Goods
AAAI 2020
On the Modularity of Hypernetworks
NeurIPS 2020
On the Multiple Descent of Minimum-Norm Interpolants and Restricted Lower Isometry of Kernels
COLT 2020
On the Noisy Gradient Descent that Generalizes as SGD
ICML 2020
On the Number of Linear Regions of Convolutional Neural Networks
ICML 2020
On the Optimal Weighted ℓ_2 Regularization in Overparameterized Linear Regression
NeurIPS 2020
On the Power of Louvain in the Stochastic Block Model
NeurIPS 2020
On the Practical Ability of Recurrent Neural Networks to Recognize Hierarchical Languages
COLING 2020
On the Regularization Properties of Structured Dropout
CVPR 2020
On the Relation between Quality-Diversity Evaluation and Distribution-Fitting Goal in Text Generation
ICML 2020
On the Relationship between Self-Attention and Convolutional Layers
ICLR 2020
On the Robustness and Training Dynamics of Raw Waveform Models
Interspeech 2020
On the Sample Complexity of Adversarial Multi-Source PAC Learning
ICML 2020
On the Sample Complexity of Learning Sum-Product Networks
AISTATS 2020
On the Similarity between the Laplace and Neural Tangent Kernels
NeurIPS 2020
On the Stability and Convergence of Robust Adversarial Reinforcement Learning: A Case Study on Linear Quadratic Systems
NeurIPS 2020
On the Sub-layer Functionalities of Transformer Decoder
EMNLP 2020
On the Systematicity of Probing Contextualized Word Representations: The Case of Hypernymy in BERT
COLING 2020
On the Theory of Transfer Learning: The Importance of Task Diversity
NeurIPS 2020
On the Tightness of Semidefinite Relaxations for Certifying Robustness to Adversarial Examples
NeurIPS 2020
On the training dynamics of deep networks with L_2 regularization
NeurIPS 2020