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 fast, universal algorithm to learn parametric nonlinear embeddings
NeurIPS 2015
A Fast Variational Approach for Learning Markov Random Field Language Models
ICML 2015
A Finite Sample Analysis of the Naive Bayes Classifier
JMLR 2015
A Flexible Tensor Block Coordinate Ascent Scheme for Hypergraph Matching
CVPR 2015
A Framework for Individualizing Predictions of Disease Trajectories by Exploiting Multi-Resolution Structure
NeurIPS 2015
A Gaussian Process Latent Variable Model for BRDF Inference
ICCV 2015
A Gaussian Process Model of Quasar Spectral Energy Distributions
NeurIPS 2015
A General Analysis of the Convergence of ADMM
ICML 2015
A General Framework for Fast Stagewise Algorithms
JMLR 2015
A Generalization of Submodular Cover via the Diminishing Return Property on the Integer Lattice
NeurIPS 2015
Agnostic Insurability of Model Classes
JMLR 2015
Agnostic Learning of Disjunctions on Symmetric Distributions
JMLR 2015
A Greedy Homotopy Method for Regression with Nonconvex Constraints
AISTATS 2015
A Groupwise Multilinear Correspondence Optimization for 3D Faces
ICCV 2015
A Hybrid Approach for Probabilistic Inference using Random Projections
ICML 2015
A hybrid sampler for Poisson-Kingman mixture models
NeurIPS 2015
Algorithmic Stability and Uniform Generalization
NeurIPS 2015
Algorithms for Lipschitz Learning on Graphs
COLT 2015
Algorithms for the Hard Pre-Image Problem of String Kernels and the General Problem of String Prediction
ICML 2015
Algorithms with Logarithmic or Sublinear Regret for Constrained Contextual Bandits
NeurIPS 2015
A Linear Dynamical System Model for Text
ICML 2015
A Linear Least-Squares Solution to Elastic Shape-From-Template
CVPR 2015
A Lower Bound for the Optimization of Finite Sums
ICML 2015
Alpha-Beta Divergences Discover Micro and Macro Structures in Data
ICML 2015
Alternating Minimization for Regression Problems with Vector-valued Outputs
NeurIPS 2015