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)
Human Active Learning
NeurIPS 2008
HyPE: Hybrid Particle-Element Approach for Recursive Bayesian Searching and Tracking
RSS 2008
ICA based on a Smooth Estimation of the Differential Entropy
NeurIPS 2008
Improved Moves for Truncated Convex Models
NeurIPS 2008
Improving on Expectation Propagation
NeurIPS 2008
Inferring rankings under constrained sensing
NeurIPS 2008
Interpreting the neural code with Formal Concept Analysis
NeurIPS 2008
Kernel Change-point Analysis
NeurIPS 2008
Kernelized Sorting
NeurIPS 2008
Kernel Measures of Independence for non-iid Data
NeurIPS 2008
Laser and Vision Based Outdoor Object Mapping
RSS 2008
Learning Balls of Strings from Edit Corrections
JMLR 2008
Learning from Multiple Sources
JMLR 2008
Learning Reliable Classifiers From Small or Incomplete Data Sets: The Naive Credal Classifier 2
JMLR 2008
Learning with Consistency between Inductive Functions and Kernels
NeurIPS 2008
Linear Classification and Selective Sampling Under Low Noise Conditions
NeurIPS 2008
Localized Sliced Inverse Regression
NeurIPS 2008
Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction
NeurIPS 2008
Look Ma, No Hands: Analyzing the Monotonic Feature Abstraction for Text Classification
NeurIPS 2008
Manifold Learning: The Price of Normalization
JMLR 2008
MAS: a multiplicative approximation scheme for probabilistic inference
NeurIPS 2008
Maximal Causes for Non-linear Component Extraction
JMLR 2008
MDPs with Non-Deterministic Policies
NeurIPS 2008
Measures of Clustering Quality: A Working Set of Axioms for Clustering
NeurIPS 2008
Metastable Walking on Stochastically Rough Terrain
RSS 2008