conftrace_
← Machine Learning
Machine Learning ›

Optimization & Theory

36,874 papers (3 classified directly here)

Subtopics

Optimization (14,983) Bayesian Inference (5,566) Learning Theory (5,334) Theory (4,955) Statistical Learning (4,117) Neural Network Optimization (3,649) Stochastic Processes (2,667) Loss Functions (1,162) Distributed Learning (1,135) Stochastic Methods (1,118) Online Algorithms (806) Statistics (684) Information Theory (318) Generalization (220) Sparse Optimization (158) Sample Complexity (99) Game Theory (30) Robust Optimization (17) Optimal Transport (14) Approximation Algorithms (10) Distributed Optimization (8) Convex Optimization (8)

Papers per year

1
52
337
806
3400
3289
'00
'05
'10
'15
'20
'25

Papers (including subtopics)

Improving on Expectation Propagation NIPS 2008
Extracting State Transition Dynamics from Multiple Spike Trains with Correlated Poisson HMM NIPS 2008
Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction NIPS 2008
Risk Bounds for Randomized Sample Compressed Classifiers NIPS 2008
Online Optimization in X-Armed Bandits NIPS 2008
On the Design of Loss Functions for Classification: theory, robustness to outliers, and SavageBoost NIPS 2008
Fitted Q-iteration by Advantage Weighted Regression NIPS 2008
On the Generalization Ability of Online Strongly Convex Programming Algorithms NIPS 2008
Human Active Learning NIPS 2008
Clustered Multi-Task Learning: A Convex Formulation NIPS 2008
One sketch for all: Theory and Application of Conditional Random Sampling NIPS 2008
The Mondrian Process NIPS 2008
Algorithms for Sparse Linear Classifiers in the Massive Data Setting JMLR 2008
Generalization from Observed to Unobserved Features by Clustering JMLR 2008
A Tutorial on Conformal Prediction JMLR 2008
Model Selection Through Sparse Maximum Likelihood Estimation for Multivariate Gaussian or Binary Data JMLR 2008
Learning Reliable Classifiers From Small or Incomplete Data Sets: The Naive Credal Classifier 2 JMLR 2008
Multi-class Discriminant Kernel Learning via Convex Programming JMLR 2008
Finite-Time Bounds for Fitted Value Iteration JMLR 2008
An Error Bound Based on a Worst Likely Assignment JMLR 2008
Graphical Methods for Efficient Likelihood Inference in Gaussian Covariance Models JMLR 2008
Bouligand Derivatives and Robustness of Support Vector Machines for Regression JMLR 2008
Accelerated Neural Evolution through Cooperatively Coevolved Synapses JMLR 2008
Shark JMLR 2008
Consistency of Trace Norm Minimization JMLR 2008