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
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'10
'15
'20
'25
Papers (including subtopics)
On Certifying Non-Uniform Bounds against Adversarial Attacks
ICML 2019
On Communication Complexity of Classification Problems
COLT 2019
On Computational Tractability for Rational Verification
IJCAI 2019
On Computation and Generalization of Generative Adversarial Networks under Spectrum Control
ICLR 2019
On Connected Sublevel Sets in Deep Learning
ICML 2019
On Connecting Stochastic Gradient MCMC and Differential Privacy
AISTATS 2019
On Consistent Vertex Nomination Schemes
JMLR 2019
On Constrained Nonconvex Stochastic Optimization: A Case Study for Generalized Eigenvalue Decomposition
AISTATS 2019
On Densification for Minwise Hashing
UAI 2019
On Distributed Averaging for Stochastic k-PCA
NeurIPS 2019
On Division Versus Saturation in Pseudo-Boolean Solving
IJCAI 2019
On Dropout and Nuclear Norm Regularization
ICML 2019
On Efficient Retrieval of Top Similarity Vectors
EMNLP 2019
One-Shot Marginal MAP Inference in Markov Random Fields
UAI 2019
One-Shot Neural Architecture Search via Self-Evaluated Template Network
ICCV 2019
One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers
NeurIPS 2019
On Evaluating Embedding Models for Knowledge Base Completion
ACL 2019
One-vs-All Models for Asynchronous Training: An Empirical Analysis
Interspeech 2019
On Exact Computation with an Infinitely Wide Neural Net
NeurIPS 2019
On Fast Convergence of Proximal Algorithms for SQRT-Lasso Optimization: Don’t Worry About its Nonsmooth Loss Function
UAI 2019
On Finite and Unrestricted Query Entailment beyond SQ with Number Restrictions on Transitive Roles
IJCAI 2019
On First-Order Bounds, Variance and Gap-Dependent Bounds for Adversarial Bandits
UAI 2019
On Implicit Filter Level Sparsity in Convolutional Neural Networks
CVPR 2019
On Kernel Derivative Approximation with Random Fourier Features
AISTATS 2019
On Lazy Training in Differentiable Programming
NeurIPS 2019