Papers
Subtle Topic Models and Discovering Subtly Manifested Software Concerns Automatically
Mrinal Das, Suparna Bhattacharya, Chiranjib Bhattacharyya et al.
Modeling Musical Influence with Topic Models
Uri Shalit, Daphna Weinshall, Gal Chechik
Sparse projections onto the simplex
Anastasios Kyrillidis, Stephen Becker, Volkan Cevher et al.
Sequential Bayesian Search
Zheng Wen, Branislav Kveton, Brian Eriksson et al.
Learning and Selecting Features Jointly with Point-wise Gated Boltzmann Machines
Kihyuk Sohn, Guanyu Zhou, Chansoo Lee et al.
SADA: A General Framework to Support Robust Causation Discovery
Ruichu Cai, Zhenjie Zhang, Zhifeng Hao
Collaborative hyperparameter tuning
Rémi Bardenet, Mátyás Brendel, Balázs Kégl et al.
Subproblem-Tree Calibration: A Unified Approach to Max-Product Message Passing
Huayan Wang, Koller Daphne
Label Partitioning For Sublinear Ranking
Jason Weston, Ameesh Makadia, Hector Yee
Transition Matrix Estimation in High Dimensional Time Series
Fang Han, Han Liu
Gated Autoencoders with Tied Input Weights
Droniou Alain, Sigaud Olivier
Monochromatic Bi-Clustering
Sharon Wulff, Ruth Urner, Shai Ben-David
Precision-recall space to correct external indices for biclustering
Blaise Hanczar, Mohamed Nadif
Scalable Optimization of Neighbor Embedding for Visualization
Zhirong Yang, Jaakko Peltonen, Samuel Kaski
Fast dropout training
Sida Wang, Christopher Manning
Learning Connections in Financial Time Series
Gartheeban Ganeshapillai, John Guttag, Andrew Lo
A unifying framework for vector-valued manifold regularization and multi-view learning
Minh Hà Quang, Loris Bazzani, Vittorio Murino
Generic Exploration and K-armed Voting Bandits
Tanguy Urvoy, Fabrice Clerot, Raphael Féraud et al.
Local Low-Rank Matrix Approximation
Joonseok Lee, Seungyeon Kim, Guy Lebanon et al.
Ellipsoidal Multiple Instance Learning
Gabriel Krummenacher, Cheng Soon Ong, Joachim Buhmann
Forecastable Component Analysis
Georg Goerg
A Variational Approximation for Topic Modeling of Hierarchical Corpora
Do-kyum Kim, Geoffrey Voelker, Lawrence Saul
Thurstonian Boltzmann Machines: Learning from Multiple Inequalities
Truyen Tran, Dinh Phung, Svetha Venkatesh
A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems
Pinghua Gong, Changshui Zhang, Zhaosong Lu et al.