Papers
Improved Strongly Adaptive Online Learning using Coin Betting
Kwang-Sung Jun, Francesco Orabona, Stephen Wright et al.
Minimax-optimal semi-supervised regression on unknown manifolds
Amit Moscovich, Ariel Jaffe, Nadler Boaz
Efficient Algorithm for Sparse Tensor-variate Gaussian Graphical Models via Gradient Descent
Pan Xu, Tingting Zhang, Quanquan Gu
Bayesian Learning and Inference in Recurrent Switching Linear Dynamical Systems
Scott Linderman, Matthew Johnson, Andrew Miller et al.
On the Hyperprior Choice for the Global Shrinkage Parameter in the Horseshoe Prior
Juho Piironen, Aki Vehtari
DP-EM: Differentially Private Expectation Maximization
Mijung Park, James Foulds, Kamalika Choudhary et al.
Hit-and-Run for Sampling and Planning in Non-Convex Spaces
Yasin Abbasi-Yadkori, Peter Bartlett, Victor Gabillon et al.
Faster Coordinate Descent via Adaptive Importance Sampling
Dmytro Perekrestenko, Volkan Cevher, Martin Jaggi
A Unified Optimization View on Generalized Matching Pursuit and Frank-Wolfe
Francesco Locatello, Rajiv Khanna, Michael Tschannen et al.
Comparison-Based Nearest Neighbor Search
Siavash Haghiri, Debarghya Ghoshdastidar, Ulrike von Luxburg
CPSG-MCMC: Clustering-Based Preprocessing method for Stochastic Gradient MCMC
Tianfan Fu, Zhihua Zhang
Scalable Learning of Non-Decomposable Objectives
Elad Eban, Mariano Schain, Alan Mackey et al.
Hierarchically-partitioned Gaussian Process Approximation
Byung-Jun Lee, Jongmin Lee, Kee-Eung Kim
A Stochastic Nonconvex Splitting Method for Symmetric Nonnegative Matrix Factorization
Songtao Lu, Mingyi Hong, Zhengdao Wang
Unsupervised Sequential Sensor Acquisition
Manjesh Hanawal, Csaba Szepesvari, Venkatesh Saligrama
Attributing Hacks
Ziqi Liu, Alex Smola, Kyle Soska et al.
Regression Uncertainty on the Grassmannian
Yi Hong, Xiao Yang, Roland Kwitt et al.
Markov Chain Truncation for Doubly-Intractable Inference
Colin Wei, Iain Murray
Information-theoretic limits of Bayesian network structure learning
Asish Ghoshal, Jean Honorio
Robust and Efficient Computation of Eigenvectors in a Generalized Spectral Method for Constrained Clustering
Chengming Jiang, Huiqing Xie, Zhaojun Bai
Rank Aggregation and Prediction with Item Features
Kai-Yang Chiang, Cho-Jui Hsieh, Inderjit Dhillon
Dynamic Collaborative Filtering With Compound Poisson Factorization
Ghassen Jerfel, Mehmet Basbug, Barbara Engelhardt
The End of Optimism? An Asymptotic Analysis of Finite-Armed Linear Bandits
Tor Lattimore, Csaba Szepesvari
Adaptive ADMM with Spectral Penalty Parameter Selection
Zheng Xu, Mario Figueiredo, Tom Goldstein