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)
A Market Framework for Eliciting Private Data
NeurIPS 2015
A Metric Parametrization for Trifocal Tensors With Non-Colinear Pinholes
CVPR 2015
A Modified Orthant-Wise Limited Memory Quasi-Newton Method with Convergence Analysis
ICML 2015
A Multi-Plane Block-Coordinate Frank-Wolfe Algorithm for Training Structural SVMs With a Costly Max-Oracle
CVPR 2015
A Multiscale Variable-Grouping Framework for MRF Energy Minimization
ICCV 2015
An Accurate Iris Segmentation Framework Under Relaxed Imaging Constraints Using Total Variation Model
ICCV 2015
An Almost Optimal PAC Algorithm
COLT 2015
Analysis of Robust PCA via Local Incoherence
NeurIPS 2015
An Asynchronous Parallel Stochastic Coordinate Descent Algorithm
JMLR 2015
An Empirical Exploration of Recurrent Network Architectures
ICML 2015
An Empirical Study of Stochastic Variational Inference Algorithms for the Beta Bernoulli Process
ICML 2015
A New Generalized Error Path Algorithm for Model Selection
ICML 2015
A New Look at Nearest Neighbours: Identifying Benign Input Geometries via Random Projections
ACML 2015
An Exploration of Parameter Redundancy in Deep Networks With Circulant Projections
ICCV 2015
A Nonconvex Optimization Framework for Low Rank Matrix Estimation
NeurIPS 2015
An Online Learning Algorithm for Bilinear Models
ICML 2015
A Normative Theory of Adaptive Dimensionality Reduction in Neural Networks
NeurIPS 2015
Anytime Influence Bounds and the Explosive Behavior of Continuous-Time Diffusion Networks
NeurIPS 2015
Approximate Dynamic Programming for Two-Player Zero-Sum Markov Games
ICML 2015
Approximating Sparse PCA from Incomplete Data
NeurIPS 2015
A Probabilistic Model for Dirty Multi-task Feature Selection
ICML 2015
A Projection Free Method for Generalized Eigenvalue Problem With a Nonsmooth Regularizer
ICCV 2015
A Pseudo-Euclidean Iteration for Optimal Recovery in Noisy ICA
NeurIPS 2015
A PTAS for Agnostically Learning Halfspaces
COLT 2015
A Relative Exponential Weighing Algorithm for Adversarial Utility-based Dueling Bandits
ICML 2015