Papers
Measuring the Information Content of Financial News
Ching-Yun Chang, Yue Zhang, Zhiyang Teng et al.
Measuring the reliability of MCMC inference with bidirectional Monte Carlo
Roger B Grosse, Siddharth Ancha, Daniel M. Roy
Measuring Turn-Taking Offsets in Human-Human Dialogues
Rebecca Lunsford, Peter A. Heeman, Emma Rennie
Mechanical Antagonism in Legged Robots
Andy Abate, Jonathan W. Hurst, Ross L. Hatton
Megaman: Scalable Manifold Learning in Python
James McQueen, Marina Meilă, Jacob VanderPlas et al.
MEKA: A Multi-label/Multi-target Extension to WEKA
Jesse Read, Peter Reutemann, Bernhard Pfahringer et al.
Memory-Bounded Left-Corner Unsupervised Grammar Induction on Child-Directed Input
Cory Shain, William Bryce, Lifeng Jin et al.
Memory, Communication, and Statistical Queries
Jacob Steinhardt, Gregory Valiant, Stefan Wager
Memory-Efficient Backpropagation Through Time
Audrunas Gruslys, Remi Munos, Ivo Danihelka et al.
Memory Efficient Max Flow for Multi-Label Submodular MRFs
Thalaiyasingam Ajanthan, Richard Hartley, Mathieu Salzmann
Memory-Efficient Modeling and Search Techniques for Hardware ASR Decoders
Michael Price, Anantha Chandrakasan, James Glass
Metadata-conscious anonymous messaging
Giulia Fanti, Peter Kairouz, Sewoong Oh et al.
Meta–Gradient Boosted Decision Tree Model for Weight and Target Learning
Yury Ustinovskiy, Valentina Fedorova, Gleb Gusev et al.
MetaGrad: Multiple Learning Rates in Online Learning
Tim van Erven, Wouter M. Koolen
Meta-Learning with Memory-Augmented Neural Networks
Adam Santoro, Sergey Bartunov, Matthew Botvinick et al.
Metric Learning as Convex Combinations of Local Models With Generalization Guarantees
Valentina Zantedeschi, Remi Emonet, Marc Sebban
Microphone Distance Adaptation Using Cluster Adaptive Training for Robust Far Field Speech Recognition
Animesh Prasad, Khe Chai Sim
Microscopic Multilingual Matrix Test Predictions Using an ASR-Based Speech Recognition Model
Marc René Schädler, David Hülsmeier, Anna Warzybok et al.
Mindfulness Special Event
Nikki Mirghafori
Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMs
Anton Osokin, Jean-Baptiste Alayrac, Isabella Lukasewitz et al.
Minimax Adaptive Estimation of Nonparametric Hidden Markov Models
Yohann De Castro, Élisabeth Gassiat, Claire Lacour
Minimax Estimation of Maximum Mean Discrepancy with Radial Kernels
Ilya O Tolstikhin, Bharath K. Sriperumbudur, Bernhard Schölkopf
Minimax Optimal Alternating Minimization for Kernel Nonparametric Tensor Learning
Taiji Suzuki, Heishiro Kanagawa, Hayato Kobayashi et al.
Minimax Rates in Permutation Estimation for Feature Matching
Olivier Collier, Arnak S. Dalalyan