Papers
Multi-Class Deep Boosting
Vitaly Kuznetsov, Mehryar Mohri, Umar Syed
Multilabel Structured Output Learning with Random Spanning Trees of Max-Margin Markov Networks
Mario Marchand, Hongyu Su, Emilie Morvant et al.
Multi-Resolution Cascades for Multiclass Object Detection
Mohammad Saberian, Nuno Vasconcelos
Multiscale Fields of Patterns
Pedro Felzenszwalb, John G Oberlin
Multi-scale Graphical Models for Spatio-Temporal Processes
firdaus janoos, Huseyin Denli, Niranjan Subrahmanya
Multi-Scale Spectral Decomposition of Massive Graphs
Si Si, Donghyuk Shin, Inderjit S Dhillon et al.
Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Matrix Decomposition
Hanie Sedghi, Anima Anandkumar, Edmond Jonckheere
Multitask learning meets tensor factorization: task imputation via convex optimization
Kishan Wimalawarne, Masashi Sugiyama, Ryota Tomioka
Multivariate f-divergence Estimation With Confidence
Kevin Moon, Alfred Hero
Multivariate Regression with Calibration
Han Liu, Lie Wang, Tuo Zhao
Multi-View Perceptron: a Deep Model for Learning Face Identity and View Representations
Zhenyao Zhu, Ping Luo, Xiaogang Wang et al.
Near-Optimal Density Estimation in Near-Linear Time Using Variable-Width Histograms
Siu On Chan, Ilias Diakonikolas, Rocco A. Servedio et al.
Near-optimal Reinforcement Learning in Factored MDPs
Ian Osband, Benjamin Van Roy
Near-optimal sample compression for nearest neighbors
Lee-Ad Gottlieb, Aryeh Kontorovich, Pinhas Nisnevitch
Near-Optimal-Sample Estimators for Spherical Gaussian Mixtures
Ananda Theertha Suresh, Alon Orlitsky, Jayadev Acharya et al.
Neural Word Embedding as Implicit Matrix Factorization
Omer Levy, Yoav Goldberg
Neurons as Monte Carlo Samplers: Bayesian Inference and Learning in Spiking Networks
Yanping Huang, Rajesh P. Rao
New Rules for Domain Independent Lifted MAP Inference
Happy Mittal, Prasoon Goyal, Vibhav G Gogate et al.
Non-convex Robust PCA
Praneeth Netrapalli, Niranjan U N, Sujay Sanghavi et al.
Nonparametric Bayesian inference on multivariate exponential families
William R Vega-Brown, Marek Doniec, Nicholas G Roy
Object Localization based on Structural SVM using Privileged Information
Jan Feyereisl, Suha Kwak, Jeany Son et al.
On a Theory of Nonparametric Pairwise Similarity for Clustering: Connecting Clustering to Classification
Yingzhen Yang, Feng Liang, Shuicheng Yan et al.
On Communication Cost of Distributed Statistical Estimation and Dimensionality
Ankit Garg, Tengyu Ma, Huy Nguyen
On Integrated Clustering and Outlier Detection
Lionel Ott, Linsey Pang, Fabio T Ramos et al.
On Iterative Hard Thresholding Methods for High-dimensional M-Estimation
Prateek Jain, Ambuj Tewari, Purushottam Kar