Papers
8,340 papers found
Learning the beta-Divergence in Tweedie Compound Poisson Matrix Factorization Models
Umut Simsekli, Ali Taylan Cemgil, Yusuf Kenan Yilmaz
Learning the Structure of Sum-Product Networks
Robert Gens, Domingos Pedro
Learning Triggering Kernels for Multi-dimensional Hawkes Processes
Ke Zhou, Hongyuan Zha, Le Song
Learning with Marginalized Corrupted Features
Laurens Maaten, Minmin Chen, Stephen Tyree et al.
Local Deep Kernel Learning for Efficient Non-linear SVM Prediction
Cijo Jose, Prasoon Goyal, Parv Aggrwal et al.
Local Low-Rank Matrix Approximation
Joonseok Lee, Seungyeon Kim, Guy Lebanon et al.
Loss-Proportional Subsampling for Subsequent ERM
Paul Mineiro, Nikos Karampatziakis
MAD-Bayes: MAP-based Asymptotic Derivations from Bayes
Tamara Broderick, Brian Kulis, Michael Jordan
Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions for Vision Architectures
James Bergstra, Daniel Yamins, David Cox
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