Papers
Multiple-Play Bandits in the Position-Based Model
Paul Lagrée, Claire Vernade, Olivier Cappe
Multistage Campaigning in Social Networks
Mehrdad Farajtabar, Xiaojing Ye, Sahar Harati et al.
Multivariate tests of association based on univariate tests
Ruth Heller, Yair Heller
Multi-view Anomaly Detection via Robust Probabilistic Latent Variable Models
Tomoharu Iwata, Makoto Yamada
Mutual information for symmetric rank-one matrix estimation: A proof of the replica formula
jean barbier, Mohamad Dia, Nicolas Macris et al.
Natural-Parameter Networks: A Class of Probabilistic Neural Networks
Hao Wang, Xingjian SHI, Dit-Yan Yeung
Nearly Isometric Embedding by Relaxation
James McQueen, Marina Meila, Dominique Joncas
Near-Optimal Smoothing of Structured Conditional Probability Matrices
Moein Falahatgar, Mesrob I Ohannessian, Alon Orlitsky
Nested Mini-Batch K-Means
James Newling, François Fleuret
NESTT: A Nonconvex Primal-Dual Splitting Method for Distributed and Stochastic Optimization
Davood Hajinezhad, Mingyi Hong, Tuo Zhao et al.
Neurally-Guided Procedural Models: Amortized Inference for Procedural Graphics Programs using Neural Networks
Daniel Ritchie, Anna Thomas, Pat Hanrahan et al.
Neural Universal Discrete Denoiser
Taesup Moon, Seonwoo Min, Byunghan Lee et al.
Neurons Equipped with Intrinsic Plasticity Learn Stimulus Intensity Statistics
Travis Monk, Cristina Savin, Jörg Lücke
New Liftable Classes for First-Order Probabilistic Inference
Seyed Mehran Kazemi, Angelika Kimmig, Guy Van den Broeck et al.
Noise-Tolerant Life-Long Matrix Completion via Adaptive Sampling
Maria-Florina F Balcan, Hongyang Zhang
Normalized Spectral Map Synchronization
Yanyao Shen, Qixing Huang, Nati Srebro et al.
Object based Scene Representations using Fisher Scores of Local Subspace Projections
Mandar D Dixit, Nuno Vasconcelos
One-vs-Each Approximation to Softmax for Scalable Estimation of Probabilities
Michalis Titsias RC AUEB
On Explore-Then-Commit strategies
Aurelien Garivier, Tor Lattimore, Emilie Kaufmann
On Graph Reconstruction via Empirical Risk Minimization: Fast Learning Rates and Scalability
Guillaume Papa, Aurélien Bellet, Stephan Clémençon
Online and Differentially-Private Tensor Decomposition
Yining Wang, Anima Anandkumar
Online Bayesian Moment Matching for Topic Modeling with Unknown Number of Topics
Wei-Shou Hsu, Pascal Poupart
Online Convex Optimization with Unconstrained Domains and Losses
Ashok Cutkosky, Kwabena A. Boahen