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 Structured Prediction Theory with Calibrated Convex Surrogate Losses
NeurIPS 2017
On Tensor Train Rank Minimization : Statistical Efficiency and Scalable Algorithm
NeurIPS 2017
On the Ability of Neural Nets to Express Distributions
COLT 2017
On the Complexity of Learning from Label Proportions
IJCAI 2017
On the Complexity of Learning Neural Networks
NeurIPS 2017
On the Computational Complexity of Gossip Protocols
IJCAI 2017
On the Consistency of Ordinal Regression Methods
JMLR 2017
On the Consistency of Quick Shift
NeurIPS 2017
On the Distribution of Lexical Features at Multiple Levels of Analysis
ACL 2017
On the Expressive Power of Deep Neural Networks
ICML 2017
On the Fine-Grained Complexity of Empirical Risk Minimization: Kernel Methods and Neural Networks
NeurIPS 2017
On the Flatness of Loss Surface for Two-layered ReLU Networks
ACML 2017
On the Hyperprior Choice for the Global Shrinkage Parameter in the Horseshoe Prior
AISTATS 2017
On the Interpretability of Conditional Probability Estimates in the Agnostic Setting
AISTATS 2017
On the Iteration Complexity of Support Recovery via Hard Thresholding Pursuit
ICML 2017
On the Kernelization of Global Constraints
IJCAI 2017
On the Learnability of Fully-Connected Neural Networks
AISTATS 2017
On the Model Shrinkage Effect of Gamma Process Edge Partition Models
NeurIPS 2017
On the Optimization Landscape of Tensor Decompositions
NeurIPS 2017
On the Power of Truncated SVD for General High-rank Matrix Estimation Problems
NeurIPS 2017
On The Projection Operator to A Three-view Cardinality Constrained Set
ICML 2017
On the Propagation of Low-Rate Measurement Error to Subgraph Counts in Large Networks
JMLR 2017
On the Quality and Intelligibility of Noisy Speech Processed for Near-End Listening Enhancement
Interspeech 2017
On the Sampling Problem for Kernel Quadrature
ICML 2017
On Thompson Sampling and Asymptotic Optimality
IJCAI 2017