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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Papers (including subtopics)
Communication Efficient Distributed Machine Learning with the Parameter Server
NeurIPS 2014
Communication-Efficient Distributed Optimization using an Approximate Newton-type Method
ICML 2014
Community Detection via Random and Adaptive Sampling
COLT 2014
Complex Activity Recognition using Granger Constrained DBN (GCDBN) in Sports and Surveillance Video
CVPR 2014
Compressed Counting Meets Compressed Sensing
COLT 2014
Compressive Sensing of Signals from a GMM with Sparse Precision Matrices
NeurIPS 2014
Computational Limits for Matrix Completion
COLT 2014
Computing Parametric Ranking Models via Rank-Breaking
ICML 2014
Concavity of reweighted Kikuchi approximation
NeurIPS 2014
Concentration in unbounded metric spaces and algorithmic stability
ICML 2014
Concept Drift Detection Through Resampling
ICML 2014
Condensed Filter Tree for Cost-Sensitive Multi-Label Classification
ICML 2014
Conditional Swap Regret and Conditional Correlated Equilibrium
NeurIPS 2014
Cone-Constrained Principal Component Analysis
NeurIPS 2014
Confidence Intervals and Hypothesis Testing for High-Dimensional Regression
JMLR 2014
Confidence Intervals for Random Forests: The Jackknife and the Infinitesimal Jackknife
JMLR 2014
Consistency of Causal Inference under the Additive Noise Model
ICML 2014
Consistency of Spectral Partitioning of Uniform Hypergraphs under Planted Partition Model
NeurIPS 2014
Consistency of weighted majority votes
NeurIPS 2014
Consistent Binary Classification with Generalized Performance Metrics
NeurIPS 2014
Constant Nullspace Strong Convexity and Fast Convergence of Proximal Methods under High-Dimensional Settings
NeurIPS 2014
Constrained convex minimization via model-based excessive gap
NeurIPS 2014
Convergence rates for persistence diagram estimation in Topological Data Analysis
ICML 2014
Convex Deep Learning via Normalized Kernels
NeurIPS 2014
Convex Optimization Procedure for Clustering: Theoretical Revisit
NeurIPS 2014