Papers
Non-Uniform Stochastic Average Gradient Method for Training Conditional Random Fields
Mark Schmidt, Reza Babanezhad, Mohamed Ahmed et al.
On Anomaly Ranking and Excess-Mass Curves
Nicolas Goix, Anne Sabourin, Stéphan Clémençon
On Approximate Non-submodular Minimization via Tree-Structured Supermodularity
Yoshinobu Kawahara, Rishabh Iyer, Jeffrey Bilmes
One-bit Compressed Sensing with the k-Support Norm
Sheng Chen, Arindam Banerjee
On Estimating L_2^2 Divergence
Akshay Krishnamurthy, Kirthevasan Kandasamy, Barnabas Poczos et al.
Online Optimization : Competing with Dynamic Comparators
Ali Jadbabaie, Alexander Rakhlin, Shahin Shahrampour et al.
Online Ranking with Top-1 Feedback
Sougata Chaudhuri, Ambuj Tewari
On the High Dimensional Power of a Linear-Time Two Sample Test under Mean-shift Alternatives
Sashank Reddi, Aaditya Ramdas, Barnabas Poczos et al.
On Theoretical Properties of Sum-Product Networks
Robert Peharz, Sebastian Tschiatschek, Franz Pernkopf et al.
Parameter Estimation of Generalized Linear Models without Assuming their Link Function
Sreangsu Acharyya, Joydeep Ghosh
Particle Gibbs for Bayesian Additive Regression Trees
Balaji Lakshminarayanan, Daniel Roy, Yee Whye Teh
Particle Gibbs with Ancestor Sampling for Probabilistic Programs
Jan-Willem Meent, Hongseok Yang, Vikash Mansinghka et al.
Power-Law Graph Cuts
Xiangyang Zhou, Jiaxin Zhang, Brian Kulis
Predicting Preference Reversals via Gaussian Process Uncertainty Aversion
Rikiya Takahashi, Tetsuro Morimura
Predictive Inverse Optimal Control for Linear-Quadratic-Gaussian Systems
Xiangli Chen, Brian Ziebart
Preferential Attachment in Graphs with Affinities
Jay Lee, Manzil Zaheer, Stephan Günnemann et al.
Reactive bandits with attitude
Pedro Ortega, Kee-Eung Kim, Daniel Lee
Reliable and Scalable Variational Inference for the Hierarchical Dirichlet Process
Michael Hughes, Dae Il Kim, Erik Sudderth
Robust Cost Sensitive Support Vector Machine
Shuichi Katsumata, Akiko Takeda
Robust sketching for multiple square-root LASSO problems
Vu Pham, Laurent El Ghaoui
Scalable Nonparametric Multiway Data Analysis
Shandian Zhe, Zenglin Xu, Xinqi Chu et al.
Scalable Optimization of Randomized Operational Decisions in Adversarial Classification Settings
Bo Li, Yevgeniy Vorobeychik
Scalable Variational Gaussian Process Classification
James Hensman, Alexander Matthews, Zoubin Ghahramani