Papers
Manifold Preserving Hierarchical Topic Models for Quantization and Approximation
Minje Kim, Paris Smaragdis
Margins, Shrinkage, and Boosting
Matus Telgarsky
Markov Network Estimation From Multi-attribute Data
Mladen Kolar, Han Liu, Eric Xing
Maximum Variance Correction with Application to A* Search
Wenlin Chen, Kilian Weinberger, Yixin Chen
Max-Margin Multiple-Instance Dictionary Learning
Xinggang Wang, Baoyuan Wang, Xiang Bai et al.
Maxout Networks
Ian Goodfellow, David Warde-Farley, Mehdi Mirza et al.
Mean Reversion with a Variance Threshold
Marco Cuturi, Alexandre D’Aspremont
Message passing with l1 penalized KL minimization
Yuan Qi, Yandong Guo
MILEAGE: Multiple Instance LEArning with Global Embedding
Dan Zhang, Jingrui He, Luo Si et al.
Mini-Batch Primal and Dual Methods for SVMs
Martin Takac, Avleen Bijral, Peter Richtarik et al.
Mixture of Mutually Exciting Processes for Viral Diffusion
Shuang-Hong Yang, Hongyuan Zha
Modeling Information Propagation with Survival Theory
Manuel Gomez-Rodriguez, Jure Leskovec, Bernhard Schölkopf
Modeling Musical Influence with Topic Models
Uri Shalit, Daphna Weinshall, Gal Chechik
Modeling Temporal Evolution and Multiscale Structure in Networks
Tue Herlau, Morten Mørup, Mikkel Schmidt
Modelling Sparse Dynamical Systems with Compressed Predictive State Representations
William L. Hamilton, Mahdi Milani Fard, Joelle Pineau
Monochromatic Bi-Clustering
Sharon Wulff, Ruth Urner, Shai Ben-David
Multi-Class Classification with Maximum Margin Multiple Kernel
Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
Multilinear Multitask Learning
Bernardino Romera-Paredes, Hane Aung, Nadia Bianchi-Berthouze et al.
Multiple Identifications in Multi-Armed Bandits
Séebastian Bubeck, Tengyao Wang, Nitin Viswanathan
Multiple-source cross-validation
Krzysztof Geras, Charles Sutton
Multi-Task Learning with Gaussian Matrix Generalized Inverse Gaussian Model
Ming Yang, Yingming Li, Zhongfei Zhang
Multi-View Clustering and Feature Learning via Structured Sparsity
Hua Wang, Feiping Nie, Heng Huang
Natural Image Bases to Represent Neuroimaging Data
Ashish Gupta, Murat Ayhan, Anthony Maida
Near-optimal Batch Mode Active Learning and Adaptive Submodular Optimization
Yuxin Chen, Andreas Krause
Near-Optimal Bounds for Cross-Validation via Loss Stability
Ravi Kumar, Daniel Lokshtanov, Sergei Vassilvitskii et al.