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)
Localized Complexities for Transductive Learning
COLT 2014
Local Linear Convergence of Forward--Backward under Partial Smoothness
NeurIPS 2014
Locally Adaptive Factor Processes for Multivariate Time Series
JMLR 2014
Local Readjustment for High-Resolution 3D Reconstruction
CVPR 2014
Logistic Regression: Tight Bounds for Stochastic and Online Optimization
COLT 2014
Loopy Belief Propagation in the Presence of Determinism
AISTATS 2014
Low-density Parity Constraints for Hashing-Based Discrete Integration
ICML 2014
Low-dimensional models of neural population activity in sensory cortical circuits
NeurIPS 2014
Lower Bounds for the Gibbs Sampler over Mixtures of Gaussians
ICML 2014
Lower Bounds on the Performance of Polynomial-time Algorithms for Sparse Linear Regression
COLT 2014
Low-Rank Spectral Learning
AISTATS 2014
Making Pairwise Binary Graphical Models Attractive
NeurIPS 2014
Manhattan and Piecewise-Planar Constraints for Dense Monocular Mapping
RSS 2014
Manopt, a Matlab Toolbox for Optimization on Manifolds
JMLR 2014
Marginal Structured SVM with Hidden Variables
ICML 2014
Matrix Completion with the Trace Norm: Learning, Bounding, and Transducing
JMLR 2014
Maximum Margin Multiclass Nearest Neighbors
ICML 2014
Maximum Mean Discrepancy for Class Ratio Estimation: Convergence Bounds and Kernel Selection
ICML 2014
Maximum Persistency in Energy Minimization
CVPR 2014
Max-Margin Infinite Hidden Markov Models
ICML 2014
Median Selection Subset Aggregation for Parallel Inference
NeurIPS 2014
Memory and Computation Efficient PCA via Very Sparse Random Projections
ICML 2014
Memory (and Time) Efficient Sequential Monte Carlo
ICML 2014
Message Passing Inference for Large Scale Graphical Models with High Order Potentials
NeurIPS 2014
Methods of Moments for Learning Stochastic Languages: Unified Presentation and Empirical Comparison
ICML 2014