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)
The Deep Weight Prior
ICLR 2019
The Domain Transform Solver
CVPR 2019
The Effect of Network Width on Stochastic Gradient Descent and Generalization: an Empirical Study
ICML 2019
The Evolved Transformer
ICML 2019
The Functional Neural Process
NeurIPS 2019
The Gap Between Model-Based and Model-Free Methods on the Linear Quadratic Regulator: An Asymptotic Viewpoint
COLT 2019
The Gaussian Process Autoregressive Regression Model (GPAR)
AISTATS 2019
The Geometry of Deep Networks: Power Diagram Subdivision
NeurIPS 2019
The Goldilocks Zone: Towards Better Understanding of Neural Network Loss Landscapes
AAAI 2019
The Impact of Regularization on High-dimensional Logistic Regression
NeurIPS 2019
The Implicit Bias of AdaGrad on Separable Data
NeurIPS 2019
The implicit bias of gradient descent on nonseparable data
COLT 2019
The Implicit Metropolis-Hastings Algorithm
NeurIPS 2019
The Influence of Down-Sampling Strategies on SVD Word Embedding Stability
NAACL 2019
The information-theoretic value of unlabeled data in semi-supervised learning
ICML 2019
The Kelly Growth Optimal Portfolio with Ensemble Learning
AAAI 2019
The Kernel Interaction Trick: Fast Bayesian Discovery of Pairwise Interactions in High Dimensions
ICML 2019
The Landscape of Non-convex Empirical Risk with Degenerate Population Risk
NeurIPS 2019
The Level Weighted Structural Similarity Loss: A Step Away from MSE
AAAI 2019
The LogBarrier Adversarial Attack: Making Effective Use of Decision Boundary Information
ICCV 2019
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
ICLR 2019
The Lower The Simpler: Simplifying Hierarchical Recurrent Models
NAACL 2019
The Medical Deconfounder: Assessing Treatment Effects with Electronic Health Records
MLHC 2019
The non-parametric bootstrap and spectral analysis in moderate and high-dimension
AISTATS 2019
The Normalization Method for Alleviating Pathological Sharpness in Wide Neural Networks
NeurIPS 2019