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Syndicated Bandits: A Framework for Auto Tuning Hyper-parameters in Contextual Bandit Algorithms


Jun 05, 2021
Qin Ding, Yi-Wei Liu, Cho-Jui Hsieh, James Sharpnack


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Robust Stochastic Linear Contextual Bandits Under Adversarial Attacks


Jun 05, 2021
Qin Ding, Cho-Jui Hsieh, James Sharpnack


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An Efficient Algorithm For Generalized Linear Bandit: Online Stochastic Gradient Descent and Thompson Sampling


Jun 07, 2020
Qin Ding, Cho-Jui Hsieh, James Sharpnack


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Multiscale Non-stationary Stochastic Bandits


Feb 13, 2020
Qin Ding, Cho-Jui Hsieh, James Sharpnack


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Unsupervised Object Segmentation with Explicit Localization Module


Nov 21, 2019
Weitang Liu, Lifeng Wei, James Sharpnack, John D. Owens


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Temporal Collaborative Ranking Via Personalized Transformer


Aug 15, 2019
Liwei Wu, Shuqing Li, Cho-Jui Hsieh, James Sharpnack

* plan to submit for review 

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Graph DNA: Deep Neighborhood Aware Graph Encoding for Collaborative Filtering


May 29, 2019
Liwei Wu, Hsiang-Fu Yu, Nikhil Rao, James Sharpnack, Cho-Jui Hsieh

* under review 

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Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers


May 25, 2019
Liwei Wu, Shuqing Li, Cho-Jui Hsieh, James Sharpnack

* submitted for review 

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Weak consistency of the 1-nearest neighbor measure with applications to missing data and covariate shift


Feb 06, 2019
James Sharpnack


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SQL-Rank: A Listwise Approach to Collaborative Ranking


Sep 04, 2018
Liwei Wu, Cho-Jui Hsieh, James Sharpnack


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Distributed Cartesian Power Graph Segmentation for Graphon Estimation


May 25, 2018
Shitong Wei, Oscar Hernan Madrid-Padilla, James Sharpnack


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Estimating Graphlet Statistics via Lifting


Feb 23, 2018
Kirill Paramonov, James Sharpnack


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Trend Filtering on Graphs


Jun 04, 2016
Yu-Xiang Wang, James Sharpnack, Alex Smola, Ryan J. Tibshirani

* Journal of Machine Learning Research Volume (2016) Volume 17 Article 15-147 
* A short version appeared in AISTATS'2015 

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Recovering Graph-Structured Activations using Adaptive Compressive Measurements


Feb 14, 2014
Akshay Krishnamurthy, James Sharpnack, Aarti Singh


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Near-optimal Anomaly Detection in Graphs using Lovasz Extended Scan Statistic


Dec 11, 2013
James Sharpnack, Akshay Krishnamurthy, Aarti Singh

* Advances in Neural Information Processing Systems 26. MIT Press. Cambridge, MA. 2013 

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Detecting Activations over Graphs using Spanning Tree Wavelet Bases


Jul 12, 2012
James Sharpnack, Akshay Krishnamurthy, Aarti Singh


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Changepoint Detection over Graphs with the Spectral Scan Statistic


Jun 04, 2012
James Sharpnack, Alessandro Rinaldo, Aarti Singh


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Variance function estimation in high-dimensions


May 21, 2012
Mladen Kolar, James Sharpnack

* Appearing in Proceedings of the 29 th International Conference on Machine Learning, Edinburgh, Scotland, UK, 2012 

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