Papers
Probabilistic Line Searches for Stochastic Optimization
Maren Mahsereci, Philipp Hennig
Probabilistic Variational Bounds for Graphical Models
Qiang Liu, John W. Fisher III, Alex Ihler
Quartz: Randomized Dual Coordinate Ascent with Arbitrary Sampling
Zheng Qu, Peter Richtarik, Tong Zhang
Randomized Block Krylov Methods for Stronger and Faster Approximate Singular Value Decomposition
Cameron Musco, Christopher Musco
Rapidly Mixing Gibbs Sampling for a Class of Factor Graphs Using Hierarchy Width
Christopher M De Sa, Ce Zhang, Kunle Olukotun et al.
Rate-Agnostic (Causal) Structure Learning
Sergey Plis, David Danks, Cynthia Freeman et al.
Recognizing retinal ganglion cells in the dark
Emile Richard, Georges A Goetz, E. J. Chichilnisky
Recovering Communities in the General Stochastic Block Model Without Knowing the Parameters
Emmanuel Abbe, Colin Sandon
Rectified Factor Networks
Djork-Arné Clevert, Andreas Mayr, Thomas Unterthiner et al.
Recursive Training of 2D-3D Convolutional Networks for Neuronal Boundary Prediction
Kisuk Lee, Aleksandar Zlateski, Vishwanathan Ashwin et al.
Reflection, Refraction, and Hamiltonian Monte Carlo
Hadi Mohasel Afshar, Justin Domke
Regressive Virtual Metric Learning
Michaël Perrot, Amaury Habrard
Regret-Based Pruning in Extensive-Form Games
Noam Brown, Tuomas Sandholm
Regret Lower Bound and Optimal Algorithm in Finite Stochastic Partial Monitoring
Junpei Komiyama, Junya Honda, Hiroshi Nakagawa
Regularization-Free Estimation in Trace Regression with Symmetric Positive Semidefinite Matrices
Martin Slawski, Ping Li, Matthias Hein
Regularization Path of Cross-Validation Error Lower Bounds
Atsushi Shibagaki, Yoshiki Suzuki, Masayuki Karasuyama et al.
Regularized EM Algorithms: A Unified Framework and Statistical Guarantees
Xinyang Yi, Constantine Caramanis
Rethinking LDA: Moment Matching for Discrete ICA
Anastasia Podosinnikova, Francis Bach, Simon Lacoste-Julien
Revenue Optimization against Strategic Buyers
Mehryar Mohri, Andres Munoz
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach
Yinlam Chow, Aviv Tamar, Shie Mannor et al.
Robust Feature-Sample Linear Discriminant Analysis for Brain Disorders Diagnosis
Ehsan Adeli-Mosabbeb, Kim-Han Thung, Le An et al.
Robust Gaussian Graphical Modeling with the Trimmed Graphical Lasso
Eunho Yang, Aurelie C. Lozano
Robust PCA with compressed data
Wooseok Ha, Rina Foygel Barber
Robust Portfolio Optimization
Huitong Qiu, Fang Han, Han Liu et al.
Robust Regression via Hard Thresholding
Kush Bhatia, Prateek Jain, Purushottam Kar