Papers
Privacy Aware Learning
Martin J. Wainwright, Michael I. Jordan, John C. Duchi
Private Convex Empirical Risk Minimization and High-dimensional Regression
Daniel Kifer, Adam Smith, Abhradeep Thakurta
Probabilistic Event Cascades for Alzheimer's disease
Jonathan Huang, Daniel Alexander
Probabilistic Low-Rank Subspace Clustering
S. D. Babacan, Shinichi Nakajima, Minh Do
Probabilistic Modeling of Human Movements for Intention Inference
Zhikun Wang, Marc Deisenroth, Heni Ben Amor et al.
Probabilistic n-Choose-k Models for Classification and Ranking
Kevin Swersky, Brendan J. Frey, Daniel Tarlow et al.
Probabilistic Temporal Logic for Motion Planning with Resource Threshold Constraints
Chanyeol Yoo, Robert Fitch, Salah Sukkarieh
Projection Retrieval for Classification
Madalina Fiterau, Artur Dubrawski
Proper losses for learning from partial labels
Jesús Cid-sueiro
Protocols for Learning Classifiers on Distributed Data
Hal Daume III, Jeff Phillips, Avishek Saha et al.
Provable ICA with Unknown Gaussian Noise, with Implications for Gaussian Mixtures and Autoencoders
Sanjeev Arora, Rong Ge, Ankur Moitra et al.
Proximal Newton-type methods for convex optimization
Jason Lee, Yuekai Sun, Michael Saunders
Putting Bayes to sleep
Dmitry Adamskiy, Manfred K. Warmuth, Wouter M. Koolen
QBoost: Large Scale Classifier Training withAdiabatic Quantum Optimization
Hartmut Neven, Vasil S. Denchev, Geordie Rose et al.
Q-MKL: Matrix-induced Regularization in Multi-Kernel Learning with Applications to Neuroimaging
Chris Hinrichs, Vikas Singh, Jiming Peng et al.
Quantum Set Intersection and its Application to Associative Memory
Tamer Salman, Yoram Baram
Query Complexity of Derivative-Free Optimization
Kevin G. Jamieson, Robert Nowak, Ben Recht
Query Strategies for Evading Convex-Inducing Classifiers
Blaine Nelson, Benjamin I. P. Rubinstein, Ling Huang et al.
Quilting Stochastic Kronecker Product Graphs to Generate Multiplicative Attribute Graphs
Hyokun Yun, S V N Vishwanathan
Random Design Analysis of Ridge Regression
Daniel Hsu, Sham M. Kakade, Tong Zhang
Random Feature Maps for Dot Product Kernels
Purushottam Kar, Harish Karnick
Random function priors for exchangeable arrays with applications to graphs and relational data
James Lloyd, Peter Orbanz, Zoubin Ghahramani et al.
Randomized Optimum Models for Structured Prediction
Daniel Tarlow, Ryan Adams, Richard Zemel
Random Search for Hyper-Parameter Optimization
James Bergstra, Yoshua Bengio