Papers
Sparse Submodular Probabilistic PCA
Rajiv Khanna, Joydeep Ghosh, Russell Poldrack et al.
On Approximate Non-submodular Minimization via Tree-Structured Supermodularity
Yoshinobu Kawahara, Rishabh Iyer, Jeffrey Bilmes
Robust Cost Sensitive Support Vector Machine
Shuichi Katsumata, Akiko Takeda
Consensus Message Passing for Layered Graphical Models
Varun Jampani, S. M. Ali Eslami, Daniel Tarlow et al.
Sparse Dueling Bandits
Kevin Jamieson, Sumeet Katariya, Atul Deshpande et al.
Estimating the accuracies of multiple classifiers without labeled data
Ariel Jaffe, Boaz Nadler, Yuval Kluger
Online Optimization : Competing with Dynamic Comparators
Ali Jadbabaie, Alexander Rakhlin, Shahin Shahrampour et al.
Submodular Point Processes with Applications to Machine learning
Rishabh Iyer, Jeffrey Bilmes
Cross-domain recommendation without shared users or items by sharing latent vector distributions
Tomoharu Iwata, Takeuchi Koh
Reliable and Scalable Variational Inference for the Hierarchical Dirichlet Process
Michael Hughes, Dae Il Kim, Erik Sudderth
Stochastic Structured Variational Inference
Matthew Hoffman, David Blei
Scalable Variational Gaussian Process Classification
James Hensman, Alexander Matthews, Zoubin Ghahramani
Metric recovery from directed unweighted graphs
Tatsunori Hashimoto, Yi Sun, Tommi Jaakkola
A Consistent Method for Graph Based Anomaly Localization
Satoshi Hara, Tetsuro Morimura, Toshihiro Takahashi et al.
The Bayesian Echo Chamber: Modeling Social Influence via Linguistic Accommodation
Fangjian Guo, Charles Blundell, Hanna Wallach et al.
Consistent Collective Matrix Completion under Joint Low Rank Structure
Suriya Gunasekar, Makoto Yamada, Dawei Yin et al.
Modeling Skill Acquisition Over Time with Sequence and Topic Modeling
José González-Brenes
On Anomaly Ranking and Excess-Mass Curves
Nicolas Goix, Anne Sabourin, Stéphan Clémençon
Efficient Estimation of Mutual Information for Strongly Dependent Variables
Shuyang Gao, Greg Ver Steeg, Aram Galstyan
Learning Deep Sigmoid Belief Networks with Data Augmentation
Zhe Gan, Ricardo Henao, David Carlson et al.
Computational Complexity of Linear Large Margin Classification With Ramp Loss
Søren Frejstrup Maibing, Christian Igel
Graph Approximation and Clustering on a Budget
Ethan Fetaya, Ohad Shamir, Shimon Ullman
Back to the Past: Source Identification in Diffusion Networks from Partially Observed Cascades
Mehrdad Farajtabar, Manuel Gomez Rodriguez, Mohammad Zamani et al.