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FINGER: Fast Inference for Graph-based Approximate Nearest Neighbor Search


Jun 22, 2022
Patrick H. Chen, Chang Wei-cheng, Yu Hsiang-fu, Inderjit S. Dhillon, Hsieh Cho-jui


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Counterfactual Learning To Rank for Utility-Maximizing Query Autocompletion


Apr 22, 2022
Adam Block, Rahul Kidambi, Daniel N. Hill, Thorsten Joachims, Inderjit S. Dhillon


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Sample Efficiency of Data Augmentation Consistency Regularization


Feb 24, 2022
Shuo Yang, Yijun Dong, Rachel Ward, Inderjit S. Dhillon, Sujay Sanghavi, Qi Lei


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Cluster-and-Conquer: A Framework For Time-Series Forecasting


Oct 26, 2021
Reese Pathak, Rajat Sen, Nikhil Rao, N. Benjamin Erichson, Michael I. Jordan, Inderjit S. Dhillon

* 25 pages, 3 figures 

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Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification


Oct 01, 2021
Jiong Zhang, Wei-cheng Chang, Hsiang-fu Yu, Inderjit S. Dhillon


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Label Disentanglement in Partition-based Extreme Multilabel Classification


Jun 24, 2021
Xuanqing Liu, Wei-Cheng Chang, Hsiang-Fu Yu, Cho-Jui Hsieh, Inderjit S. Dhillon


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Extreme Multi-label Learning for Semantic Matching in Product Search


Jun 23, 2021
Wei-Cheng Chang, Daniel Jiang, Hsiang-Fu Yu, Choon-Hui Teo, Jiong Zhang, Kai Zhong, Kedarnath Kolluri, Qie Hu, Nikhil Shandilya, Vyacheslav Ievgrafov, Japinder Singh, Inderjit S. Dhillon

* Accepted in KDD 2021 Applied Data Science Track 

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Robust Training in High Dimensions via Block Coordinate Geometric Median Descent


Jun 16, 2021
Anish Acharya, Abolfazl Hashemi, Prateek Jain, Sujay Sanghavi, Inderjit S. Dhillon, Ufuk Topcu


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DP-NormFedAvg: Normalizing Client Updates for Privacy-Preserving Federated Learning


Jun 13, 2021
Rudrajit Das, Abolfazl Hashemi, Sujay Sanghavi, Inderjit S. Dhillon


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Enabling Efficiency-Precision Trade-offs for Label Trees in Extreme Classification


Jun 01, 2021
Tavor Z. Baharav, Daniel L. Jiang, Kedarnath Kolluri, Sujay Sanghavi, Inderjit S. Dhillon


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