conftrace_

Machine Learning

121,146 papers (10 classified directly here)

Subtopics

Learning Types (52,936) Core Methods (48,729) Optimization & Theory (36,874) Application Areas (31,658) Bayesian & Probabilistic (3,963) Learning Paradigms (2,054)

Papers per year

5
73
527
1644
10862
15958
'00
'05
'10
'15
'20
'25

Papers (including subtopics)

DART: Dropouts meet Multiple Additive Regression Trees AISTATS 2015
On Estimating L_2^2 Divergence AISTATS 2015
Tensor Factorization via Matrix Factorization AISTATS 2015
Low-Rank Spectral Learning with Weighted Loss Functions AISTATS 2015
Symmetric Iterative Proportional Fitting AISTATS 2015
Tight Regret Bounds for Stochastic Combinatorial Semi-Bandits AISTATS 2015
Sequential Kernel Herding: Frank-Wolfe Optimization for Particle Filtering AISTATS 2015
Particle Gibbs for Bayesian Additive Regression Trees AISTATS 2015
Deeply-Supervised Nets AISTATS 2015
Modelling Policies in MDPs in Reproducing Kernel Hilbert Space AISTATS 2015
Toward Minimax Off-policy Value Estimation AISTATS 2015
Max-Margin Zero-Shot Learning for Multi-class Classification AISTATS 2015
Conditional Restricted Boltzmann Machines for Multi-label Learning with Incomplete Labels AISTATS 2015
Sparsistency of \ell_1-Regularized M-Estimators AISTATS 2015
Similarity Learning for High-Dimensional Sparse Data AISTATS 2015
Tradeoffs for Space, Time, Data and Risk in Unsupervised Learning AISTATS 2015
Active Pointillistic Pattern Search AISTATS 2015
The Security of Latent Dirichlet Allocation AISTATS 2015
A Spectral Algorithm for Inference in Hidden semi-Markov Models AISTATS 2015
Efficient Training of Structured SVMs via Soft Constraints AISTATS 2015
Variance Reduction via Antithetic Markov Chains AISTATS 2015
Fast Function to Function Regression AISTATS 2015
Reactive bandits with attitude AISTATS 2015
Feature Selection for Linear SVM with Provable Guarantees AISTATS 2015
On Theoretical Properties of Sum-Product Networks AISTATS 2015