Papers
Random Coordinate Descent Methods for Minimizing Decomposable Submodular Functions
Alina Ene, Huy Nguyen
Ranking from Stochastic Pairwise Preferences: Recovering Condorcet Winners and Tournament Solution Sets at the Top
Arun Rajkumar, Suprovat Ghoshal, Lek-Heng Lim et al.
Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood
Kohei Hayashi, Shin-ichi Maeda, Ryohei Fujimaki
Reified Context Models
Jacob Steinhardt, Percy Liang
Removing systematic errors for exoplanet search via latent causes
Bernhard Schölkopf, David Hogg, Dun Wang et al.
Risk and Regret of Hierarchical Bayesian Learners
Jonathan Huggins, Josh Tenenbaum
Robust Estimation of Transition Matrices in High Dimensional Heavy-tailed Vector Autoregressive Processes
Huitong Qiu, Sheng Xu, Fang Han et al.
Robust partially observable Markov decision process
Takayuki Osogami
Safe Exploration for Optimization with Gaussian Processes
Yanan Sui, Alkis Gotovos, Joel Burdick et al.
Safe Policy Search for Lifelong Reinforcement Learning with Sublinear Regret
Haitham Bou Ammar, Rasul Tutunov, Eric Eaton
Safe Screening for Multi-Task Feature Learning with Multiple Data Matrices
Jie Wang, Jieping Ye
Safe Subspace Screening for Nuclear Norm Regularized Least Squares Problems
Qiang Zhou, Qi Zhao
Scalable Bayesian Optimization Using Deep Neural Networks
Jasper Snoek, Oren Rippel, Kevin Swersky et al.
Scalable Deep Poisson Factor Analysis for Topic Modeling
Zhe Gan, Changyou Chen, Ricardo Henao et al.
Scalable Model Selection for Large-Scale Factorial Relational Models
Chunchen Liu, Lu Feng, Ryohei Fujimaki et al.
Scalable Nonparametric Bayesian Inference on Point Processes with Gaussian Processes
Yves-Laurent Kom Samo, Stephen Roberts
Scalable Variational Inference in Log-supermodular Models
Josip Djolonga, Andreas Krause
Scaling up Natural Gradient by Sparsely Factorizing the Inverse Fisher Matrix
Roger Grosse, Ruslan Salakhudinov
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
Kelvin Xu, Jimmy Ba, Ryan Kiros et al.
Simple regret for infinitely many armed bandits
Alexandra Carpentier, Michal Valko
Sparse Subspace Clustering with Missing Entries
Congyuan Yang, Daniel Robinson, Rene Vidal
Sparse Variational Inference for Generalized GP Models
Rishit Sheth, Yuyang Wang, Roni Khardon
Spectral Clustering via the Power Method - Provably
Christos Boutsidis, Prabhanjan Kambadur, Alex Gittens
Spectral MLE: Top-K Rank Aggregation from Pairwise Comparisons
Yuxin Chen, Changho Suh
Statistical and Algorithmic Perspectives on Randomized Sketching for Ordinary Least-Squares
Garvesh Raskutti, Michael Mahoney