Papers
The Neural Autoregressive Distribution Estimator
Hugo Larochelle, Iain Murray
Contextual Bandit Algorithms with Supervised Learning Guarantees
Alina Beygelzimer, John Langford, Lihong Li et al.
Summarization of Yes/No Questions Using a Feature Function Model
Jing He, Decheng Dai
Acceleration Technique for Boosting Classification and its Application to Face Detection
Masanori Kawakita, Ryota Izumi, Jun'ichi Takeuchi et al.
Multi-label Active Learning with Auxiliary Learner
Chen-Wei Hung, Hsuan-Tien Lin
Estimating Diffusion Probability Changes for AsIC-SIS Model from Information Diffusion Results
Akihiro Koide, Kazumi Saito, Kouzou Ohara et al.
Multi-label Classification with Error-correcting Codes
Chung-Sung Ferng, Hsuan-Tien Lin
Learning Attribute-weighted Voter Model over Social Networks
Yuki Yamagishi, Kazumi Saito, Kouzou Ohara et al.
Computationally Efficient Sufficient Dimension Reduction via Squared-Loss Mutual Information
Makoto Yamada, Gang Niu, Jun Takagi et al.
Robust Generation of Dynamical Patterns in Human Motion by a Deep Belief Nets
Sainbaya Sukhbaatar, Takaki Makino, Kazuyuki Aihara et al.
Mixed-Variate Restricted Boltzmann Machines
Truyen Tran, Dinh Phung, Svetha Venkatesh
Learning Rules from Incomplete Examples via Implicit Mention Models
Janardhan Rao Doppa, Mohammad Shahed Sorower, Mohammad Nasresfahani et al.
Learning low-rank output kernels
Francesco Dinuzzo, Kenji Fukumizu
Approximate Model Selection for Large Scale LSSVM
Lizhong Ding, Shizhong Liao
Unsupervised Multiple Kernel Learning
Jinfeng Zhuang, Jialei Wang, Steven C. H. Hoi et al.
A General Linear Non-Gaussian State-Space Model: Identifiability, Identification, and Applications
Kun Zhang, Aapo Hyvärinen
Support Vector Machines Under Adversarial Label Noise
Battista Biggio, Blaine Nelson, Pavel Laskov
Bayesian Inference for Statistical Abduction Using Markov Chain Monte Carlo
Masakuzu Ishihata, Taisuke Sato
Microbagging Estimators: An Ensemble Approach to Distance-weighted Classifiers
Blaine Nelson, Battista Biggio, Pavel Laskov