We stand with Ukraine

We stand with Ukraine

James Sharpnack

Orcid: 0000-0002-7193-0972

Affiliations:

University of California, Davis
University of California, San Diego, Department of Mathematics (former)
Carnegie Mellon University, Machine Learning Department (former)

According to our database¹, James Sharpnack authored at least 39 papers between 2010 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

Online presence:

on jsharpna.github.io
on scholar.google.com

On csauthors.net:

Bibliography

2024

BanditCAT and AutoIRT: Machine Learning Approaches to Computerized Adaptive Testing and Item Calibration.

[BibT_eX]

[DOI]

James Sharpnack

,

,

Phoebe Mulcaire

,

Klinton Bicknell

,

Geoffrey T. LaFlair

,

Kevin P. Yancey

,

Alina A. von Davier

CoRR, 2024

AI-assisted Gaze Detection for Proctoring Online Exams.

[BibT_eX]

[DOI]

Yong-Siang Shih

,

,

,

,

James Sharpnack

,

Mirza Basim Baig

CoRR, 2024

AutoIRT: Calibrating Item Response Theory Models with Automated Machine Learning.

[BibT_eX]

[DOI]

James Sharpnack

,

Phoebe Mulcaire

,

Klinton Bicknell

,

Geoffrey T. LaFlair

,

Kevin P. Yancey

CoRR, 2024

Improving Lung Cancer Diagnosis and Survival Prediction with Deep Learning and CT Imaging.

[BibT_eX]

[DOI]

,

James Sharpnack

,

Thomas C. M. Lee

CoRR, 2024

Detecting LLM-Assisted Cheating on Open-Ended Writing Tasks on Language Proficiency Tests.

[BibT_eX]

[DOI]

,

Kevin P. Yancey

,

,

Mirza Basim Baig

,

,

James Sharpnack

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

2023

On L<sup>2</sup>-Consistency of Nearest Neighbor Matching.

[BibT_eX]

[DOI]

James Sharpnack

IEEE Trans. Inf. Theory, June, 2023

RLSbench: Domain Adaptation Under Relaxed Label Shift.

[BibT_eX]

[DOI]

,

,

James Sharpnack

,

,

Sivaraman Balakrishnan

,

Zachary Chase Lipton

Proceedings of the International Conference on Machine Learning, 2023

2022

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

[BibT_eX]

[DOI]

,

,

,

Thomas Chun Man Lee

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,

James Sharpnack

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Multimodal AutoML for Image, Text and Tabular Data.

[BibT_eX]

[DOI]

,

,

James Sharpnack

,

Alexander J. Smola

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

An Unsupervised Hunt for Gravitational Lenses.

[BibT_eX]

[DOI]

,

Keerthi Vasan G. C

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,

James Sharpnack

,

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Robust Stochastic Linear Contextual Bandits Under Adversarial Attacks.

[BibT_eX]

[DOI]

,

,

James Sharpnack

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

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

[BibT_eX]

[DOI]

,

,

,

James Sharpnack

CoRR, 2021

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

[BibT_eX]

[DOI]

,

,

James Sharpnack

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Multiscale Non-stationary Stochastic Bandits.

[BibT_eX]

[DOI]

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,

James Sharpnack

CoRR, 2020

SSE-PT: Sequential Recommendation Via Personalized Transformer.

[BibT_eX]

[DOI]

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,

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James Sharpnack

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Graph DNA: Deep Neighborhood Aware Graph Encoding for Collaborative Filtering.

[BibT_eX]

[DOI]

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,

,

James Sharpnack

,

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Unsupervised Object Segmentation with Explicit Localization Module.

[BibT_eX]

[DOI]

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,

James Sharpnack

,

CoRR, 2019

Temporal Collaborative Ranking Via Personalized Transformer.

[BibT_eX]

[DOI]

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,

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James Sharpnack

CoRR, 2019

Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers.

[BibT_eX]

[DOI]

,

,

,

James L. Sharpnack

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Estimating Graphlet Statistics via Lifting.

[BibT_eX]

[DOI]

Kirill Paramonov

,

Dmitry Shemetov

,

James Sharpnack

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

Distributed Cartesian Power Graph Segmentation for Graphon Estimation.

[BibT_eX]

[DOI]

,

Oscar Hernan Madrid Padilla

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James Sharpnack

CoRR, 2018

SQL-Rank: A Listwise Approach to Collaborative Ranking.

[BibT_eX]

[DOI]

,

,

James Sharpnack

Proceedings of the 35th International Conference on Machine Learning, 2018

Learning Patterns for Detection with Multiscale Scan Statistics.

[BibT_eX]

[DOI]

James Sharpnack

Proceedings of the Conference On Learning Theory, 2018

2017

The DFS Fused Lasso: Linear-Time Denoising over General Graphs.

[BibT_eX]

[DOI]

Oscar Hernan Madrid Padilla

,

James Sharpnack

,

,

Ryan J. Tibshirani

J. Mach. Learn. Res., 2017

Higher-Order Total Variation Classes on Grids: Minimax Theory and Trend Filtering Methods.

[BibT_eX]

[DOI]

Veeranjaneyulu Sadhanala

,

,

James Sharpnack

,

Ryan J. Tibshirani

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

A Sharp Error Analysis for the Fused Lasso, with Application to Approximate Changepoint Screening.

[BibT_eX]

[DOI]

,

James Sharpnack

,

Alessandro Rinaldo

,

Ryan J. Tibshirani

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Large-scale Collaborative Ranking in Near-Linear Time.

[BibT_eX]

[DOI]

,

,

James Sharpnack

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016

Detecting Anomalous Activity on Networks With the Graph Fourier Scan Statistic.

[BibT_eX]

[DOI]

James Sharpnack

,

Alessandro Rinaldo

,

IEEE Trans. Signal Process., 2016

Trend Filtering on Graphs.

[BibT_eX]

[DOI]

,

James Sharpnack

,

Alexander J. Smola

,

Ryan J. Tibshirani

J. Mach. Learn. Res., 2016

2013

Graph Structured Normal Means Inference.

[BibT_eX]

[DOI]

James Sharpnack

PhD thesis, 2013

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

[BibT_eX]

[DOI]

James Sharpnack

,

Akshay Krishnamurthy

,

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Near-optimal and computationally efficient detectors for weak and sparse graph-structured patterns.

[BibT_eX]

[DOI]

James Sharpnack

,

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

A path algorithm for localizing anomalous activity in graphs.

[BibT_eX]

[DOI]

James Sharpnack

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Changepoint Detection over Graphs with the Spectral Scan Statistic.

[BibT_eX]

[DOI]

James Sharpnack

,

,

Alessandro Rinaldo

Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

Detecting Activations over Graphs using Spanning Tree Wavelet Bases.

[BibT_eX]

[DOI]

James Sharpnack

,

,

Akshay Krishnamurthy

Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

Recovering graph-structured activations using adaptive compressive measurements.

[BibT_eX]

[DOI]

Akshay Krishnamurthy

,

James Sharpnack

,

Proceedings of the 2013 Asilomar Conference on Signals, 2013

2012

Sparsistency of the Edge Lasso over Graphs.

[BibT_eX]

[DOI]

James Sharpnack

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,

Alessandro Rinaldo

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Variance Function Estimation in High-dimensions.

[BibT_eX]

[DOI]

,

James Sharpnack

Proceedings of the 29th International Conference on Machine Learning, 2012

2010

Identifying graph-structured activation patterns in networks.

[BibT_eX]

[DOI]

James Sharpnack

,

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

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