JMLR 2015
107 papers
AD3: Alternating Directions Dual Decomposition for MAP Inference in Graphical Models
André F. T. Martins, Mário A. T. Figueiredo, Pedro M. Q. Aguiar, Noah A. Smith, Eric P. Xing Agnostic Insurability of Model Classes
Narayana Santhanam, Venkat Anantharam An Asynchronous Parallel Stochastic Coordinate Descent Algorithm
Ji Liu, Stephen J. Wright, Christopher Ré, Victor Bittorf, Srikrishna Sridhar Approximate Modified Policy Iteration and Its Application to the Game of Tetris
Bruno Scherrer, Mohammad Ghavamzadeh, Victor Gabillon, Boris Lesner, Matthieu Geist Bayesian Nonparametric Crowdsourcing
Pablo G. Moreno, Antonio Artes-Rodriguez, Yee Whye Teh, Fernando Perez-Cruz Combination of Feature Engineering and Ranking Models for Paper-Author Identification in KDD Cup 2013
Chun-Liang Li, Yu-Chuan Su, Ting-Wei Lin, Cheng-Hao Tsai, Wei-Cheng Chang, Kuan-Hao Huang, Tzu-Ming Kuo, Shan-Wei Lin, Young-San Lin, Yu-Chen Lu, Chun-Pai Yang, Cheng-Xia Chang, Wei-Sheng Chin, Yu-Chin Juan, Hsiao-Yu Tung, Jui-Pin Wang, Cheng-Kuang Wei, Felix Wu, Tu-Chun Yin, Tong Yu, Yong Zhuang, Shou-de Lin, Hsuan-Tien Lin, Chih-Jen Lin Completing Any Low-Rank Matrix, Provably
Yudong Chen, Srinadh Bhojanapalli, Sujay Sanghavi, Rachel Ward Composite Self-Concordant Minimization
Quoc Tran-Dinh, Anastasios Kyrillidis, Volkan Cevher Eigenwords: Spectral Word Embeddings
Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar Evolving GPU Machine Code
Cleomar Pereira da Silva, Douglas Mota Dias, Cristiana Bentes, Marco Aurélio Cavalcanti Pacheco, Leandro Fontoura Cupertino Exceptional Rotations of Random Graphs: A VC Theory
Louigi Addario-Berry, Shankar Bhamidi, Sébastien Bubeck, Luc Devroye, Gábor Lugosi, Roberto Imbuzeiro Oliveira Fast Rates in Statistical and Online Learning
Tim van Erven, Peter D. Grünwald, Nishant A. Mehta, Mark D. Reid, Robert C. Williamson Generalized Hierarchical Kernel Learning
Pratik Jawanpuria, Jagarlapudi Saketha Nath, Ganesh Ramakrishnan Learning Equilibria of Games via Payoff Queries
John Fearnley, Martin Gairing, Paul W. Goldberg, Rahul Savani Learning Sparse Low-Threshold Linear Classifiers
Sivan Sabato, Shai Shalev-Shwartz, Nathan Srebro, Daniel Hsu, Tong Zhang Marginalizing Stacked Linear Denoising Autoencoders
Minmin Chen, Kilian Q. Weinberger, Zhixiang Xu, Fei Sha Multi-Layered Gesture Recognition with Kinect
Feng Jiang, Shengping Zhang, Shen Wu, Yang Gao, Debin Zhao Multiclass Learnability and the ERM Principle
Amit Daniely, Sivan Sabato, Shai Ben-David, Shai Shalev-Shwartz Multimodal Gesture Recognition via Multiple Hypotheses Rescoring
Vassilis Pitsikalis, Athanasios Katsamanis, Stavros Theodorakis, Petros Maragos On the Inductive Bias of Dropout
David P. Helmbold, Philip M. Long Online Learning via Sequential Complexities
Alexander Rakhlin, Karthik Sridharan, Ambuj Tewari Online Tensor Methods for Learning Latent Variable Models
Furong Huang, U. N. Niranjan, Mohammad Umar Hakeem, Animashree Anandkumar PAC Optimal MDP Planning with Application to Invasive Species Management
Majid Alkaee Taleghan, Thomas G. Dietterich, Mark Crowley, Kim Hall, H. Jo Albers Photonic Delay Systems as Machine Learning Implementations
Michiel Hermans, Miguel C. Soriano, Joni Dambre, Peter Bienstman, Ingo Fischer Plug-and-Play Dual-Tree Algorithm Runtime Analysis
Ryan R. Curtin, Dongryeol Lee, William B. March, Parikshit Ram Predicting a Switching Sequence of Graph Labelings
Mark Herbster, Stephen Pasteris, Massimiliano Pontil Supervised Learning via Euler's Elastica Models
Tong Lin, Hanlin Xue, Ling Wang, Bo Huang, Hongbin Zha The Randomized Causation Coefficient
David Lopez-Paz, Krikamol Muandet, Benjamin Recht Ultra-Scalable and Efficient Methods for Hybrid Observational and Experimental Local Causal Pathway Discovery
Alexander Statnikov, Sisi Ma, Mikael Henaff, Nikita Lytkin, Efstratios Efstathiadis, Eric R. Peskin, Constantin F. Aliferis