Papers
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
Trading off Rewards and Errors in Multi-Armed Bandits
Akram Erraqabi, Alessandro Lazaric, Michal Valko et al.
Random projection design for scalable implicit smoothing of randomly observed stochastic processes
Francois Belletti, Evan Sparks, Alexandre Bayen et al.
Horde of Bandits using Gaussian Markov Random Fields
Sharan Vaswani, Mark Schmidt, Laks Lakshmanan
Sparse Randomized Partition Trees for Nearest Neighbor Search
Kaushik Sinha, Omid Keivani
Learning Nonparametric Forest Graphical Models with Prior Information
Yuancheng Zhu, Zhe Liu, Siqi Sun
Data Driven Resource Allocation for Distributed Learning
Travis Dick, Mu Li, Venkata Krishna Pillutla et al.
Minimax Approach to Variable Fidelity Data Interpolation
Alexey Zaytsev, Evgeny Burnaev
High-dimensional Time Series Clustering via Cross-Predictability
Dezhi Hong, Quanquan Gu, Kamin Whitehouse
Detecting Dependencies in Sparse, Multivariate Databases Using Probabilistic Programming and Non-parametric Bayes
Feras Saad, Vikash Mansinghka
Beta calibration: a well-founded and easily implemented improvement on logistic calibration for binary classifiers
Meelis Kull, Telmo Silva Filho, Peter Flach