Papers
A Statistical Model for Event Sequence Data
Kevin Heins, Hal Stern
Exploiting the Limits of Structure Learning via Inherent Symmetry
Peng He, Changshui Zhang
Non-Asymptotic Analysis of Relational Learning with One Network
Peng He, Changshui Zhang
On Estimating Causal Effects based on Supplemental Variables
Takahiro Hayashi, Manabu Kuroki
Analytic Long-Term Forecasting with Periodic Gaussian Processes
Nooshin HajiGhassemi, Marc Deisenroth
Learning and Evaluation in Presence of Non-i.i.d. Label Noise
Nico Görnitz, Anne Porbadnigk, Alexander Binder et al.
Efficiently Enforcing Diversity in Multi-Output Structured Prediction
Abner Guzman-Rivera, Pushmeet Kohli, Dhruv Batra et al.
Bayesian Nonparametric Poisson Factorization for Recommendation Systems
Prem Gopalan, Francisco J. Ruiz, Rajesh Ranganath et al.
Robust Stochastic Principal Component Analysis
John Goes, Teng Zhang, Raman Arora et al.
Sketching the Support of a Probability Measure
Joachim Giesen, Soeren Laue, Lars Kuehne
Learning with Maximum A-Posteriori Perturbation Models
Andreea Gane, Tamir Hazan, Tommi Jaakkola
Fully-Automatic Bayesian Piecewise Sparse Linear Models
Riki Eto, Ryohei Fujimaki, Satoshi Morinaga et al.
Robust learning of inhomogeneous PMMs
Ralf Eggeling, Teemu Roos, Petri Myllymäki et al.
Bayesian Switching Interaction Analysis Under Uncertainty
Zoran Dzunic, John Fisher III
Efficient Inference for Complex Queries on Complex Distributions
Lili Dworkin, Michael Kearns, Lirong Xia
Avoiding pathologies in very deep networks
David Duvenaud, Oren Rippel, Ryan Adams et al.
Bayesian Logistic Gaussian Process Models for Dynamic Networks
Daniele Durante, David Dunson
Approximate Slice Sampling for Bayesian Posterior Inference
Christopher DuBois, Anoop Korattikara, Max Welling et al.
Pan-sharpening with a Bayesian nonparametric dictionary learning model
Xinghao Ding, Yiyong Jiang, Yue Huang et al.
Efficient Distributed Topic Modeling with Provable Guarantees
Weicong Ding, Mohammad Rohban, Prakash Ishwar et al.
Sparsity and the Truncated l^2-norm
Lee Dicker
Sparse Bayesian Variable Selection for the Identification of Antigenic Variability in the Foot-and-Mouth Disease Virus
Vinny Davies, Richard Reeve, William Harvey et al.
Characterizing EVOI-Sufficient k-Response Query Sets in Decision Problems
Robert Cohn, Satinder Singh, Edmund Durfee
Efficient Low-Rank Stochastic Gradient Descent Methods for Solving Semidefinite Programs
Jianhui Chen, Tianbao Yang, Shenghuo Zhu