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)
Beyond the Shortest Path : Unsupervised Domain Adaptation by Sampling Subspaces Along the Spline Flow
CVPR 2015
Beyond Tree Structure Models: A New Occlusion Aware Graphical Model for Human Pose Estimation
ICCV 2015
Binary Embedding: Fundamental Limits and Fast Algorithm
ICML 2015
Biologically Inspired Dynamic Textures for Probing Motion Perception
NeurIPS 2015
Black-box optimization of noisy functions with unknown smoothness
NeurIPS 2015
Blitz: A Principled Meta-Algorithm for Scaling Sparse Optimization
ICML 2015
Blur Kernel Estimation Using Normalized Color-Line Prior
CVPR 2015
Bounding errors of Expectation-Propagation
NeurIPS 2015
Bounding the Cost of Search-Based Lifted Inference
NeurIPS 2015
Building Proteins in a Day: Efficient 3D Molecular Reconstruction
CVPR 2015
Calibrated Multivariate Regression with Application to Neural Semantic Basis Discovery
JMLR 2015
Calibrated Structured Prediction
NeurIPS 2015
Calibration of conditional composite likelihood for Bayesian inference on Gibbs random fields
AISTATS 2015
Cascading Bandits: Learning to Rank in the Cascade Model
ICML 2015
Causal Video Object Segmentation From Persistence of Occlusions
CVPR 2015
Cheap Bandits
ICML 2015
Closed-form Estimators for High-dimensional Generalized Linear Models
NeurIPS 2015
COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution
NeurIPS 2015
Collaborative Filtering with Graph Information: Consistency and Scalable Methods
NeurIPS 2015
Collaboratively Learning Preferences from Ordinal Data
NeurIPS 2015
Column Selection via Adaptive Sampling
NeurIPS 2015
Combinatorial Bandits Revisited
NeurIPS 2015
Combinatorial Cascading Bandits
NeurIPS 2015
Combined l1 and Greedy l0 Penalized Least Squares for Linear Model Selection
JMLR 2015
Communication Complexity of Distributed Convex Learning and Optimization
NeurIPS 2015