Papers
Probabilistic Deterministic Infinite Automata
David Pfau, Nicholas Bartlett, Frank Wood
Probabilistic Inference and Differential Privacy
Oliver Williams, Frank Mcsherry
Probabilistic latent variable models for distinguishing between cause and effect
Oliver Stegle, Dominik Janzing, Kun Zhang et al.
Probabilistic Multi-Task Feature Selection
Yu Zhang, Dit-Yan Yeung, Qian Xu
Random Conic Pursuit for Semidefinite Programming
Ariel Kleiner, Ali Rahimi, Michael I. Jordan
Random Projections for $k$-means Clustering
Christos Boutsidis, Anastasios Zouzias, Petros Drineas
Random Projection Trees Revisited
Aman Dhesi, Purushottam Kar
Random Walk Approach to Regret Minimization
Hariharan Narayanan, Alexander Rakhlin
Rates of convergence for the cluster tree
Kamalika Chaudhuri, Sanjoy Dasgupta
Regularized estimation of image statistics by Score Matching
Diederik P. Kingma, Yann L. Cun
Relaxed Clipping: A Global Training Method for Robust Regression and Classification
Min Yang, Linli Xu, Martha White et al.
Repeated Games against Budgeted Adversaries
Jacob D. Abernethy, Manfred K. Warmuth
Rescaling, thinning or complementing? On goodness-of-fit procedures for point process models and Generalized Linear Models
Felipe Gerhard, Wulfram Gerstner
Reverse Multi-Label Learning
James Petterson, Tibério S. Caetano
Reward Design via Online Gradient Ascent
Jonathan Sorg, Richard L. Lewis, Satinder P. Singh
(RF)^2 -- Random Forest Random Field
Nadia Payet, Sinisa Todorovic
Robust Clustering as Ensembles of Affinity Relations
Hairong Liu, Longin J. Latecki, Shuicheng Yan
Robust PCA via Outlier Pursuit
Huan Xu, Constantine Caramanis, Sujay Sanghavi
Sample Complexity of Testing the Manifold Hypothesis
Hariharan Narayanan, Sanjoy Mitter
Scrambled Objects for Least-Squares Regression
Odalric Maillard, Rémi Munos
Segmentation as Maximum-Weight Independent Set
William Brendel, Sinisa Todorovic
Self-Paced Learning for Latent Variable Models
M. P. Kumar, Benjamin Packer, Daphne Koller
Semi-Supervised Learning with Adversarially Missing Label Information
Umar Syed, Ben Taskar
Shadow Dirichlet for Restricted Probability Modeling
Bela Frigyik, Maya Gupta, Yihua Chen
Short-term memory in neuronal networks through dynamical compressed sensing
Surya Ganguli, Haim Sompolinsky