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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'10
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Papers (including subtopics)
Conditional Accelerated Lazy Stochastic Gradient Descent
ICML 2017
Conditions beyond treewidth for tightness of higher-order LP relaxations
AISTATS 2017
Confidence Sets with Expected Sizes for Multiclass Classification
JMLR 2017
Confident Multiple Choice Learning
ICML 2017
Conic Scan-and-Cover algorithms for nonparametric topic modeling
NeurIPS 2017
Conjugate-Computation Variational Inference : Converting Variational Inference in Non-Conjugate Models to Inferences in Conjugate Models
AISTATS 2017
Connected Subgraph Detection with Mirror Descent on SDPs
ICML 2017
Consistency Analysis for Binary Classification Revisited
ICML 2017
Consistency, Breakdown Robustness, and Algorithms for Robust Improper Maximum Likelihood Clustering
JMLR 2017
Consistent and Efficient Nonparametric Different-Feature Selection
AISTATS 2017
Consistent k-Clustering
ICML 2017
Consistent On-Line Off-Policy Evaluation
ICML 2017
Consistent Robust Regression
NeurIPS 2017
Constrained Bayesian Reinforcement Learning via Approximate Linear Programming
IJCAI 2017
Constrained Policy Optimization
ICML 2017
Constructive Recommendation
IJCAI 2017
Context Regularity Indexed by Auditory N1 and P2 Event-Related Potentials
Interspeech 2017
Contextual Covariance Matrix Adaptation Evolutionary Strategies
IJCAI 2017
Contextual Decision Processes with low Bellman rank are PAC-Learnable
ICML 2017
Continuous DR-submodular Maximization: Structure and Algorithms
NeurIPS 2017
Contract Design for Energy Demand Response
IJCAI 2017
Convergence Analysis of Proximal Gradient with Momentum for Nonconvex Optimization
ICML 2017
Convergence Analysis of Two-layer Neural Networks with ReLU Activation
NeurIPS 2017
Convergence of Gradient EM on Multi-component Mixture of Gaussians
NeurIPS 2017
Convergence Rate of Stochastic k-means
AISTATS 2017