Papers
Memory (and Time) Efficient Sequential Monte Carlo
Seong-Hwan Jun, Alexandre Bouchard-Côté
Memory Efficient Kernel Approximation
Si Si, Cho-Jui Hsieh, Inderjit Dhillon
Methods of Moments for Learning Stochastic Languages: Unified Presentation and Empirical Comparison
Borja Balle, William Hamilton, Joelle Pineau
Min-Max Problems on Factor Graphs
Siamak Ravanbakhsh, Christopher Srinivasa, Brendan Frey et al.
Model-Based Relational RL When Object Existence is Partially Observable
Ngo Ahn Vien, Marc Toussaint
Modeling Correlated Arrival Events with Latent Semi-Markov Processes
Wenzhao Lian, Vinayak Rao, Brian Eriksson et al.
Multi-label Classification via Feature-aware Implicit Label Space Encoding
Zijia Lin, Guiguang Ding, Mingqing Hu et al.
Multimodal Neural Language Models
Ryan Kiros, Ruslan Salakhutdinov, Rich Zemel
Multi-period Trading Prediction Markets with Connections to Machine Learning
Jinli Hu, Amos Storkey
Multiple Testing under Dependence via Semiparametric Graphical Models
Jie Liu, Chunming Zhang, Elizabeth Burnside et al.
Multiresolution Matrix Factorization
Risi Kondor, Nedelina Teneva, Vikas Garg
Multivariate Maximal Correlation Analysis
Hoang Vu Nguyen, Emmanuel Müller, Jilles Vreeken et al.
Narrowing the Gap: Random Forests In Theory and In Practice
Misha Denil, David Matheson, Nando De Freitas
(Near) Dimension Independent Risk Bounds for Differentially Private Learning
Prateek Jain, Abhradeep Guha Thakurta
Nearest Neighbors Using Compact Sparse Codes
Anoop Cherian
Near-Optimal Joint Object Matching via Convex Relaxation
Yuxin Chen, Leonidas Guibas, Qixing Huang
Near-Optimally Teaching the Crowd to Classify
Adish Singla, Ilija Bogunovic, Gabor Bartok et al.
Neural Variational Inference and Learning in Belief Networks
Andriy Mnih, Karol Gregor
Nonlinear Information-Theoretic Compressive Measurement Design
Liming Wang, Abolfazl Razi, Miguel Rodrigues et al.
Nonmyopic ε-Bayes-Optimal Active Learning of Gaussian Processes
Trong Nghia Hoang, Bryan Kian Hsiang Low, Patrick Jaillet et al.
Nonnegative Sparse PCA with Provable Guarantees
Megasthenis Asteris, Dimitris Papailiopoulos, Alexandros Dimakis
Nonparametric Estimation of Multi-View Latent Variable Models
Le Song, Animashree Anandkumar, Bo Dai et al.
Nonparametric Estimation of Renyi Divergence and Friends
Akshay Krishnamurthy, Kirthevasan Kandasamy, Barnabas Poczos et al.
Nuclear Norm Minimization via Active Subspace Selection
Cho-Jui Hsieh, Peder Olsen
One Practical Algorithm for Both Stochastic and Adversarial Bandits
Yevgeny Seldin, Aleksandrs Slivkins