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 New Perspective on Pool-Based Active Classification and False-Discovery Control
NeurIPS 2019
An Exponential Efron-Stein Inequality for L_q Stable Learning Rules
ALT 2019
An Exponential Tail Bound for the Deleted Estimate
AAAI 2019
Angular Triplet-Center Loss for Multi-View 3D Shape Retrieval
AAAI 2019
An Improved Analysis of Training Over-parameterized Deep Neural Networks
NeurIPS 2019
An Improved Convergence Analysis of Stochastic Variance-Reduced Policy Gradient
UAI 2019
An Information-Theoretic Approach to Minimax Regret in Partial Monitoring
COLT 2019
An Input-aware Factorization Machine for Sparse Prediction
IJCAI 2019
An Investigation into Neural Net Optimization via Hessian Eigenvalue Density
ICML 2019
ANODEV2: A Coupled Neural ODE Framework
NeurIPS 2019
A Non–Convex Optimization Approach to Correlation Clustering
AAAI 2019
A Nonconvex Projection Method for Robust PCA
AAAI 2019
An Online Algorithm for Smoothed Regression and LQR Control
AISTATS 2019
An Online Learning Approach to Model Predictive Control
RSS 2019
An Optimal Algorithm for Stochastic and Adversarial Bandits
AISTATS 2019
An Optimal Algorithm for Stochastic Three-Composite Optimization
AISTATS 2019
An Optimal Control Approach to Sequential Machine Teaching
AISTATS 2019
An Optimal High-Order Tensor Method for Convex Optimization
COLT 2019
An Optimal Rewiring Strategy for Cooperative Multiagent Social Learning
AAAI 2019
Answers Unite! Unsupervised Metrics for Reinforced Summarization Models
EMNLP 2019
ANYTIME MINIBATCH: EXPLOITING STRAGGLERS IN ONLINE DISTRIBUTED OPTIMIZATION
ICLR 2019
Anytime Online-to-Batch, Optimism and Acceleration
ICML 2019
Anytime Recursive Best-First Search for Bounding Marginal MAP
AAAI 2019
A PAC Framework for Aggregating Agents’ Judgments
AAAI 2019
A Particle-Based Variational Approach to Bayesian Non-negative Matrix Factorization
JMLR 2019