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)
Neyman-Pearson classification under a strict constraint
COLT 2011
Noise Thresholds for Spectral Clustering
NeurIPS 2011
Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Machine Learning
NeurIPS 2011
Non-conjugate Variational Message Passing for Multinomial and Binary Regression
NeurIPS 2011
Non-Parametric Estimation of Topic Hierarchies from Texts with Hierarchical Dirichlet Processes
JMLR 2011
Non-parametric Group Orthogonal Matching Pursuit for Sparse Learning with Multiple Kernels
NeurIPS 2011
Nonstandard Interpretations of Probabilistic Programs for Efficient Inference
NeurIPS 2011
-Norm Multiple Kernel Learning
JMLR 2011
On Causal Discovery with Cyclic Additive Noise Models
NeurIPS 2011
On fast approximate submodular minimization
NeurIPS 2011
On Learning Discrete Graphical Models using Greedy Methods
NeurIPS 2011
On Learning Discrete Graphical Models using Group-Sparse Regularization
AISTATS 2011
Online Learning: Beyond Regret
COLT 2011
Online Learning in Case of Unbounded Losses Using Follow the Perturbed Leader Algorithm
JMLR 2011
Online Learning: Stochastic, Constrained, and Smoothed Adversaries
NeurIPS 2011
Online Variational Inference for the Hierarchical Dirichlet Process
AISTATS 2011
On NDCG Consistency of Listwise Ranking Methods
AISTATS 2011
On the accuracy of l1-filtering of signals with block-sparse structure
NeurIPS 2011
On the Analysis of Multi-Channel Neural Spike Data
NeurIPS 2011
On the Consistency of Multi-Label Learning
COLT 2011
On the Estimation of α-Divergences
AISTATS 2011
On the Relation between Realizable and Nonrealizable Cases of the Sequence Prediction Problem
JMLR 2011
On the Universality of Online Mirror Descent
NeurIPS 2011
On Time Varying Undirected Graphs
AISTATS 2011
On Tracking The Partition Function
NeurIPS 2011