Papers
Statistical Optimization of Non-Negative Matrix Factorization
Anoop Korattikara Balan, Levi Boyles, Max Welling et al.
Dynamic Policy Programming with Function Approximation
Mohammad Gheshlaghi Azar, Vicenç Gómez, Bert Kappen
Polytope samplers for inference in ill-posed inverse problems
Edoardo Airoldi, Bertrand Haas
Online Inference for the Infinite Topic-Cluster Model: Storylines from Streaming Text
Amr Ahmed, Qirong Ho, Choon Hui Teo et al.
Linear-Time Estimators for Propensity Scores
Deepak Agarwal, Lihong Li, Alexander Smola
Generative Kernels for Exponential Families
Arvind Agarwal, Hal Daumé III
The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling
John Paisley, Chong Wang, David Blei
Discussion of “A conditional game for comparing approximations”
Vincent Conitzer
A conditional game for comparing approximations
Frederik Eaton
Discussion of “Spectral Dimensionality Reduction via Maximum Entropy”
Laurens van der Maaten
Spectral Dimensionality Reduction via Maximum Entropy
Neil Lawrence
Learning Scale Free Networks by Reweighted ℓ_1 regularization
Qiang Liu, Alexander Ihler
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.