Papers
Multichannel End-to-end Speech Recognition
Tsubasa Ochiai, Shinji Watanabe, Takaaki Hori et al.
Multi-Class Optimal Margin Distribution Machine
Teng Zhang, Zhi-Hua Zhou
Multi-fidelity Bayesian Optimisation with Continuous Approximations
Kirthevasan Kandasamy, Gautam Dasarathy, Jeff Schneider et al.
Multilabel Classification with Group Testing and Codes
Shashanka Ubaru, Arya Mazumdar
Multilevel Clustering via Wasserstein Means
Nhat Ho, XuanLong Nguyen, Mikhail Yurochkin et al.
Multi-objective Bandits: Optimizing the Generalized Gini Index
Róbert Busa-Fekete, Balázs Szörényi, Paul Weng et al.
Multiple Clustering Views from Multiple Uncertain Experts
Yale Chang, Junxiang Chen, Michael H. Cho et al.
Multiplicative Normalizing Flows for Variational Bayesian Neural Networks
Christos Louizos, Max Welling
Multi-task Learning with Labeled and Unlabeled Tasks
Anastasia Pentina, Christoph H. Lampert
Nearly Optimal Robust Matrix Completion
Yeshwanth Cherapanamjeri, Kartik Gupta, Prateek Jain
Near-Optimal Design of Experiments via Regret Minimization
Zeyuan Allen-Zhu, Yuanzhi Li, Aarti Singh et al.
Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders
Jesse Engel, Cinjon Resnick, Adam Roberts et al.
Neural Episodic Control
Alexander Pritzel, Benigno Uria, Sriram Srinivasan et al.
Neural Message Passing for Quantum Chemistry
Justin Gilmer, Samuel S. Schoenholz, Patrick F. Riley et al.
Neural Networks and Rational Functions
Matus Telgarsky
Neural Optimizer Search with Reinforcement Learning
Irwan Bello, Barret Zoph, Vijay Vasudevan et al.
Neural Taylor Approximations: Convergence and Exploration in Rectifier Networks
David Balduzzi, Brian McWilliams, Tony Butler-Yeoman
Nonnegative Matrix Factorization for Time Series Recovery From a Few Temporal Aggregates
Jiali Mei, Yohann De Castro, Yannig Goude et al.
Nonparanormal Information Estimation
Shashank Singh, Barnabás Póczos
No Spurious Local Minima in Nonconvex Low Rank Problems: A Unified Geometric Analysis
Rong Ge, Chi Jin, Yi Zheng
Nyström Method with Kernel K-means++ Samples as Landmarks
Dino Oglic, Thomas Gärtner
On Approximation Guarantees for Greedy Low Rank Optimization
Rajiv Khanna, Ethan R. Elenberg, Alexandros G. Dimakis et al.
On Calibration of Modern Neural Networks
Chuan Guo, Geoff Pleiss, Yu Sun et al.
On Context-Dependent Clustering of Bandits
Claudio Gentile, Shuai Li, Purushottam Kar et al.