Papers
Encrypted Accelerated Least Squares Regression
Pedro Esperanca, Louis Aslett, Chris Holmes
Estimating Density Ridges by Direct Estimation of Density-Derivative-Ratios
Hiroaki Sasaki, Takafumi Kanamori, Masashi Sugiyama
Exploration-Exploitation in MDPs with Options
Ronan Fruit, Alessandro Lazaric
Fairness Constraints: Mechanisms for Fair Classification
Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez Rogriguez et al.
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets
Aaron Klein, Stefan Falkner, Simon Bartels et al.
Fast Classification with Binary Prototypes
Kai Zhong, Ruiqi Guo, Sanjiv Kumar et al.
Fast column generation for atomic norm regularization
Marina Vinyes, Guillaume Obozinski
Faster Coordinate Descent via Adaptive Importance Sampling
Dmytro Perekrestenko, Volkan Cevher, Martin Jaggi
Finite-sum Composition Optimization via Variance Reduced Gradient Descent
Xiangru Lian, Mengdi Wang, Ji Liu
Frank-Wolfe Algorithms for Saddle Point Problems
Gauthier Gidel, Tony Jebara, Simon Lacoste-Julien
Frequency Domain Predictive Modelling with Aggregated Data
Avradeep Bhowmik, Joydeep Ghosh, Oluwasanmi Koyejo
Generalization Error of Invariant Classifiers
Jure Sokolic, Raja Giryes, Guillermo Sapiro et al.
Generalized Pseudolikelihood Methods for Inverse Covariance Estimation
Alnur Ali, Kshitij Khare, Sang-Yun Oh et al.
Global Convergence of Non-Convex Gradient Descent for Computing Matrix Squareroot
Prateek Jain, Chi Jin, Sham Kakade et al.
Gradient Boosting on Stochastic Data Streams
Hanzhang Hu, Wen Sun, Arun Venkatraman et al.
Gray-box Inference for Structured Gaussian Process Models
Pietro Galliani, Amir Dezfouli, Edwin Bonilla et al.
Greedy Direction Method of Multiplier for MAP Inference of Large Output Domain
Xiangru Huang, Ian En-Hsu Yen, Ruohan Zhang et al.
Guaranteed Non-convex Optimization: Submodular Maximization over Continuous Domains
Andrew An Bian, Baharan Mirzasoleiman, Joachim Buhmann et al.
Hierarchically-partitioned Gaussian Process Approximation
Byung-Jun Lee, Jongmin Lee, Kee-Eung Kim
High-dimensional Time Series Clustering via Cross-Predictability
Dezhi Hong, Quanquan Gu, Kamin Whitehouse
Hit-and-Run for Sampling and Planning in Non-Convex Spaces
Yasin Abbasi-Yadkori, Peter Bartlett, Victor Gabillon et al.
Horde of Bandits using Gaussian Markov Random Fields
Sharan Vaswani, Mark Schmidt, Laks Lakshmanan
Identifying Groups of Strongly Correlated Variables through Smoothed Ordered Weighted $L_1$-norms
Raman Sankaran, Francis Bach, Chiranjib Bhattacharya
Improved Strongly Adaptive Online Learning using Coin Betting
Kwang-Sung Jun, Francesco Orabona, Stephen Wright et al.