conftrace_
← Topics

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)

Multi-armed Bandit Problem with Lock-up Periods ACML 2013
Learning Parts-based Representations with Nonnegative Restricted Boltzmann Machine ACML 2013
Predictive Simulation Framework of Stochastic Diffusion Model for Identifying Top-K Influential Nodes ACML 2013
Achievability of Asymptotic Minimax Regret in Online and Batch Prediction ACML 2013
Multi-Label Classification with Unlabeled Data: An Inductive Approach ACML 2013
Q-learning for history-based reinforcement learning ACML 2013
Multiclass Latent Locally Linear Support Vector Machines ACML 2013
Exploration vs Exploitation vs Safety: Risk-Aware Multi-Armed Bandits ACML 2013
The Multi-Task Learning View of Multimodal Data ACML 2013
On multi-class classification through the minimization of the confusion matrix norm ACML 2013
Generalized Aitchison Embeddings for Histograms ACML 2013
Unconfused Ultraconservative Multiclass Algorithms ACML 2013
Second Order Online Collaborative Filtering ACML 2013
Learning a Metric Space for Neighbourhood Topology Estimation: Application to Manifold Learning ACML 2013
Coinciding Walk Kernels: Parallel Absorbing Random Walks for Learning with Graphs and Few Labels ACML 2013
Aggregating Predictions via Sequential Mini-Trading ACML 2013
Active Sampling of Pairs and Points for Large-scale Linear Bipartite Ranking ACML 2013
Multilabel Classification through Random Graph Ensembles ACML 2013
Improving Predictive Specificity of Description Logic Learners by Fortification ACML 2013
Using Hyperbolic Cross Approximation to measure and compensate Covariate Shift ACML 2013
Locally-Linear Learning Machines (L3M) ACML 2013
Co-Training with Insufficient Views ACML 2013
EPMC: Every Visit Preference Monte Carlo for Reinforcement Learning ACML 2013
Bayesian learning of joint distributions of objects AISTATS 2013
Permutation estimation and minimax rates of identifiability AISTATS 2013