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 Searching for Generalized Instrumental Variables
AISTATS 2016
On Sparse Variational Methods and the Kullback-Leibler Divergence between Stochastic Processes
AISTATS 2016
On the capacity of information processing systems
COLT 2016
On the Characterization of a Class of Fisher-Consistent Loss Functions and its Application to Boosting
JMLR 2016
On the Complexity of Best-Arm Identification in Multi-Armed Bandit Models
JMLR 2016
On the Consistency of Feature Selection With Lasso for Non-linear Targets
ICML 2016
On the Consistency of the Likelihood Maximization Vertex Nomination Scheme: Bridging the Gap Between Maximum Likelihood Estimation and Graph Matching
JMLR 2016
On the Expressive Power of Deep Learning: A Tensor Analysis
COLT 2016
On the Influence of Momentum Acceleration on Online Learning
JMLR 2016
On the Issue of Calibration in DNN-Based Speaker Recognition Systems
Interspeech 2016
On the Iteration Complexity of Oblivious First-Order Optimization Algorithms
ICML 2016
On the Power and Limits of Distance-Based Learning
ICML 2016
On the properties of variational approximations of Gibbs posteriors
JMLR 2016
On the Quality of the Initial Basin in Overspecified Neural Networks
ICML 2016
On the Recursive Teaching Dimension of VC Classes
NeurIPS 2016
On the Statistical Limits of Convex Relaxations
ICML 2016
Open Problem: Best Arm Identification: Almost Instance-Wise Optimality and the Gap Entropy Conjecture
COLT 2016
Open Problem: Kernel methods on manifolds and metric spaces. What is the probability of a positive definite geodesic exponential kernel?
COLT 2016
Open Problem: Parameter-Free and Scale-Free Online Algorithms
COLT 2016
Open Problem: Property Elicitation and Elicitation Complexity
COLT 2016
Open Problem: Second order regret bounds based on scaling time
COLT 2016
Operator Variational Inference
NeurIPS 2016
Optimal Architectures in a Solvable Model of Deep Networks
NeurIPS 2016
Optimal Best Arm Identification with Fixed Confidence
COLT 2016
Optimal Binary Classifier Aggregation for General Losses
NeurIPS 2016