Papers
Low-Rank Matrix Recovery from Row-and-Column Affine Measurements
Or Zuk, Avishai Wagner
MADE: Masked Autoencoder for Distribution Estimation
Mathieu Germain, Karol Gregor, Iain Murray et al.
Manifold-valued Dirichlet Processes
Hyunwoo Kim, Jia Xu, Baba Vemuri et al.
Markov Chain Monte Carlo and Variational Inference: Bridging the Gap
Tim Salimans, Diederik Kingma, Max Welling
Markov Mixed Membership Models
Aonan Zhang, John Paisley
Message Passing for Collective Graphical Models
Tao Sun, Dan Sheldon, Akshat Kumar
Metadata Dependent Mondrian Processes
Yi Wang, Bin Li, Yang Wang et al.
Mind the duality gap: safer rules for the Lasso
Olivier Fercoq, Alexandre Gramfort, Joseph Salmon
Modeling Order in Neural Word Embeddings at Scale
Andrew Trask, David Gilmore, Matthew Russell
Moderated and Drifting Linear Dynamical Systems
Jinyan Guan, Kyle Simek, Ernesto Brau et al.
MRA-based Statistical Learning from Incomplete Rankings
Eric Sibony, Stéphan Clemençon, Jérémie Jakubowicz
Multi-instance multi-label learning in the presence of novel class instances
Anh Pham, Raviv Raich, Xiaoli Fern et al.
Multi-Task Learning for Subspace Segmentation
Yu Wang, David Wipf, Qing Ling et al.
Multi-view Sparse Co-clustering via Proximal Alternating Linearized Minimization
Jiangwen Sun, Jin Lu, Tingyang Xu et al.
Multiview Triplet Embedding: Learning Attributes in Multiple Maps
Ehsan Amid, Antti Ukkonen
Nested Sequential Monte Carlo Methods
Christian Naesseth, Fredrik Lindsten, Thomas Schon
Non-Gaussian Discriminative Factor Models via the Max-Margin Rank-Likelihood
Xin Yuan, Ricardo Henao, Ephraim Tsalik et al.
Non-Linear Cross-Domain Collaborative Filtering via Hyper-Structure Transfer
Yan-Fu Liu, Cheng-Yu Hsu, Shan-Hung Wu
Non-Stationary Approximate Modified Policy Iteration
Boris Lesner, Bruno Scherrer
Off-policy Model-based Learning under Unknown Factored Dynamics
Assaf Hallak, Francois Schnitzler, Timothy Mann et al.
On Deep Multi-View Representation Learning
Weiran Wang, Raman Arora, Karen Livescu et al.
On Greedy Maximization of Entropy
Dravyansh Sharma, Ashish Kapoor, Amit Deshpande
On Identifying Good Options under Combinatorially Structured Feedback in Finite Noisy Environments
Yifan Wu, Andras Gyorgy, Csaba Szepesvari
Online Learning of Eigenvectors
Dan Garber, Elad Hazan, Tengyu Ma
Online Time Series Prediction with Missing Data
Oren Anava, Elad Hazan, Assaf Zeevi