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 Chaining Algorithm for Online Nonparametric Regression
COLT 2015
Achievability of Asymptotic Minimax Regret by Horizon-Dependent and Horizon-Independent Strategies
JMLR 2015
Achieving All with No Parameters: AdaNormalHedge
COLT 2015
A Complete Recipe for Stochastic Gradient MCMC
NeurIPS 2015
A Compression Technique for Analyzing Disagreement-Based Active Learning
JMLR 2015
A Consistent Method for Graph Based Anomaly Localization
AISTATS 2015
A Convergent Gradient Descent Algorithm for Rank Minimization and Semidefinite Programming from Random Linear Measurements
NeurIPS 2015
A Convex Exemplar-based Approach to MAD-Bayes Dirichlet Process Mixture Models
ICML 2015
Action Localization in Videos Through Context Walk
ICCV 2015
Active One-Shot Scan for Wide Depth Range Using a Light Field Projector Based on Coded Aperture
ICCV 2015
Adaptive Exponential Smoothing for Online Filtering of Pixel Prediction Maps
ICCV 2015
Adaptive Eye-Camera Calibration for Head-Worn Devices
CVPR 2015
Adaptive Hashing for Fast Similarity Search
ICCV 2015
Adaptive Low-Complexity Sequential Inference for Dirichlet Process Mixture Models
NeurIPS 2015
Adaptive Online Learning
NeurIPS 2015
Adaptive Primal-Dual Splitting Methods for Statistical Learning and Image Processing
NeurIPS 2015
Adaptive Recovery of Signals by Convex Optimization
COLT 2015
Adaptive Stochastic Alternating Direction Method of Multipliers
ICML 2015
Adaptive Stochastic Optimization: From Sets to Paths
NeurIPS 2015
Adding vs. Averaging in Distributed Primal-Dual Optimization
ICML 2015
A Deterministic Analysis of Noisy Sparse Subspace Clustering for Dimensionality-reduced Data
ICML 2015
A Direct Estimation of High Dimensional Stationary Vector Autoregressions
JMLR 2015
A Dirichlet Process Mixture Model for Spherical Data
AISTATS 2015
A Dual Augmented Block Minimization Framework for Learning with Limited Memory
NeurIPS 2015
Adversarial Prediction Games for Multivariate Losses
NeurIPS 2015