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S. V. N. Vishwanathan

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

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Dec 06, 2023
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Toward Understanding Privileged Features Distillation in Learning-to-Rank

Sep 19, 2022
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DS-FACTO: Doubly Separable Factorization Machines

Apr 29, 2020
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DS-MLR: Exploiting Double Separability for Scaling up Distributed Multinomial Logistic Regression

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Aug 03, 2018
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Extreme Stochastic Variational Inference: Distributed and Asynchronous

Aug 03, 2018
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Batch-Expansion Training: An Efficient Optimization Framework

Feb 23, 2018
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Online Learning of Combinatorial Objects via Extended Formulation

Oct 30, 2017
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WordRank: Learning Word Embeddings via Robust Ranking

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Sep 27, 2016
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BlackOut: Speeding up Recurrent Neural Network Language Models With Very Large Vocabularies

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Mar 31, 2016
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Distributed Stochastic Optimization of the Regularized Risk

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Jun 09, 2015
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