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DS-FACTO: Doubly Separable Factorization Machines


Apr 29, 2020
Parameswaran Raman , S. V. N. Vishwanathan


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DS-MLR: Exploiting Double Separability for Scaling up Distributed Multinomial Logistic Regression


Aug 03, 2018
Parameswaran Raman , Sriram Srinivasan , Shin Matsushima , Xinhua Zhang , Hyokun Yun , S. V. N. Vishwanathan


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Extreme Stochastic Variational Inference: Distributed and Asynchronous


Aug 03, 2018
Jiong Zhang , Parameswaran Raman , Shihao Ji , Hsiang-Fu Yu , S. V. N. Vishwanathan , Inderjit S. Dhillon


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Batch-Expansion Training: An Efficient Optimization Framework


Feb 23, 2018
Michał Dereziński , Dhruv Mahajan , S. Sathiya Keerthi , S. V. N. Vishwanathan , Markus Weimer


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Online Learning of Combinatorial Objects via Extended Formulation


Oct 30, 2017
Holakou Rahmanian , David P. Helmbold , S. V. N. Vishwanathan


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WordRank: Learning Word Embeddings via Robust Ranking


Sep 27, 2016
Shihao Ji , Hyokun Yun , Pinar Yanardag , Shin Matsushima , S. V. N. Vishwanathan

* Conference on Empirical Methods in Natural Language Processing (EMNLP), November 1-5, 2016, Austin, Texas, USA 

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BlackOut: Speeding up Recurrent Neural Network Language Models With Very Large Vocabularies


Mar 31, 2016
Shihao Ji , S. V. N. Vishwanathan , Nadathur Satish , Michael J. Anderson , Pradeep Dubey

* Published as a conference paper at ICLR 2016 

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Distributed Stochastic Optimization of the Regularized Risk


Jun 09, 2015
Shin Matsushima , Hyokun Yun , Xinhua Zhang , S. V. N. Vishwanathan


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Totally Corrective Boosting with Cardinality Penalization


Apr 07, 2015
Vasil S. Denchev , Nan Ding , Shin Matsushima , S. V. N. Vishwanathan , Hartmut Neven


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Ranking via Robust Binary Classification and Parallel Parameter Estimation in Large-Scale Data


Aug 21, 2014
Hyokun Yun , Parameswaran Raman , S. V. N. Vishwanathan


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