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S. V. N. Vishwanathan

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PEFA: Parameter-Free Adapters for Large-scale Embedding-based Retrieval Models

Dec 06, 2023
Wei-Cheng Chang, Jyun-Yu Jiang, Jiong Zhang, Mutasem Al-Darabsah, Choon Hui Teo, Cho-Jui Hsieh, Hsiang-Fu Yu, S. V. N. Vishwanathan

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Toward Understanding Privileged Features Distillation in Learning-to-Rank

Sep 19, 2022
Shuo Yang, Sujay Sanghavi, Holakou Rahmanian, Jan Bakus, S. V. N. Vishwanathan

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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

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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

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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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