James Sharpnack

50 papers A* 8A 9Misc 1Journal 24Unranked 7

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	AI-assisted Gaze Detection for Proctoring Online Exams. CoRR Yong-Siang Shih, Zach Zhao, Chenhao Niu, Bruce Iberg, James Sharpnack, Mirza Basim Baig
2024	J	`jnl`	AutoIRT: Calibrating Item Response Theory Models with Automated Machine Learning. CoRR James Sharpnack, Phoebe Mulcaire, Klinton Bicknell, Geoffrey T. LaFlair, Kevin P. Yancey
2024	J	`jnl`	BanditCAT and AutoIRT: Machine Learning Approaches to Computerized Adaptive Testing and Item Calibration. CoRR James Sharpnack, Kevin Hao, Phoebe Mulcaire, Klinton Bicknell, Geoffrey T. LaFlair, Kevin P. Yancey, Alina A. von Davier
2024	—	`conf`	Detecting LLM-Assisted Cheating on Open-Ended Writing Tasks on Language Proficiency Tests. EMNLP (Industry Track) Chenhao Niu, Kevin P. Yancey, Ruidong Liu, Mirza Basim Baig, André Horie, James Sharpnack
2024	J	`jnl`	Improving Lung Cancer Diagnosis and Survival Prediction with Deep Learning and CT Imaging. CoRR Xiawei Wang, James Sharpnack, Thomas C. M. Lee
2023	J	`jnl`	On L IEEE Trans. Inf. Theory James Sharpnack
2023	A*	`conf`	RLSbench: Domain Adaptation Under Relaxed Label Shift. ICML Saurabh Garg, Nick Erickson, James Sharpnack, Alex Smola, Sivaraman Balakrishnan, Zachary Chase Lipton
2023	J	`jnl`	RLSbench: Domain Adaptation Under Relaxed Label Shift. CoRR Saurabh Garg, Nick Erickson, James Sharpnack, Alex Smola, Sivaraman Balakrishnan, Zachary C. Lipton
2022	A	`conf`	An Unsupervised Hunt for Gravitational Lenses. AISTATS Stephen Sheng, Keerthi Vasan G. C, Chi Po P. Choi, James Sharpnack, Tucker Jones
2022	A*	`conf`	Multimodal AutoML for Image, Text and Tabular Data. KDD Nick Erickson, Xingjian Shi, James Sharpnack, Alexander J. Smola
2022	A	`conf`	Robust Stochastic Linear Contextual Bandits Under Adversarial Attacks. AISTATS Qin Ding, Cho-Jui Hsieh, James Sharpnack
2022	A*	`conf`	Syndicated Bandits: A Framework for Auto Tuning Hyper-parameters in Contextual Bandit Algorithms. NeurIPS Qin Ding, Yue Kang, Yi-Wei Liu, Thomas Chun Man Lee, Cho-Jui Hsieh, James Sharpnack
2021	A	`conf`	An Efficient Algorithm For Generalized Linear Bandit: Online Stochastic Gradient Descent and Thompson Sampling. AISTATS Qin Ding, Cho-Jui Hsieh, James Sharpnack
2021	J	`jnl`	Robust Stochastic Linear Contextual Bandits Under Adversarial Attacks. CoRR Qin Ding, Cho-Jui Hsieh, James Sharpnack
2021	J	`jnl`	Syndicated Bandits: A Framework for Auto Tuning Hyper-parameters in Contextual Bandit Algorithms. CoRR Qin Ding, Yi-Wei Liu, Cho-Jui Hsieh, James Sharpnack
2020	J	`jnl`	An Efficient Algorithm For Generalized Linear Bandit: Online Stochastic Gradient Descent and Thompson Sampling. CoRR Qin Ding, Cho-Jui Hsieh, James Sharpnack
2020	A	`conf`	Graph DNA: Deep Neighborhood Aware Graph Encoding for Collaborative Filtering. AISTATS Liwei Wu, Hsiang-Fu Yu, Nikhil Rao, James Sharpnack, Cho-Jui Hsieh
2020	J	`jnl`	Multiscale Non-stationary Stochastic Bandits. CoRR Qin Ding, Cho-Jui Hsieh, James Sharpnack
2020	A	`conf`	SSE-PT: Sequential Recommendation Via Personalized Transformer. RecSys Liwei Wu, Shuqing Li, Cho-Jui Hsieh, James Sharpnack
2019	A*	`conf`	Estimating Graphlet Statistics via Lifting. KDD Kirill Paramonov, Dmitry Shemetov, James Sharpnack
2019	J	`jnl`	Graph DNA: Deep Neighborhood Aware Graph Encoding for Collaborative Filtering. CoRR Liwei Wu, Hsiang-Fu Yu, Nikhil Rao, James Sharpnack, Cho-Jui Hsieh
2019	J	`jnl`	Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers. CoRR Liwei Wu, Shuqing Li, Cho-Jui Hsieh, James Sharpnack
2019	J	`jnl`	Temporal Collaborative Ranking Via Personalized Transformer. CoRR Liwei Wu, Shuqing Li, Cho-Jui Hsieh, James Sharpnack
2019	J	`jnl`	Unsupervised Object Segmentation with Explicit Localization Module. CoRR Weitang Liu, Lifeng Wei, James Sharpnack, John D. Owens
2018	J	`jnl`	Distributed Cartesian Power Graph Segmentation for Graphon Estimation. CoRR Shitong Wei, Oscar Hernan Madrid Padilla, James Sharpnack
2018	A*	`conf`	Learning Patterns for Detection with Multiscale Scan Statistics. COLT James Sharpnack
2018	J	`jnl`	Learning Patterns for Detection with Multiscale Scan Statistics. CoRR James Sharpnack
2018	A*	`conf`	SQL-Rank: A Listwise Approach to Collaborative Ranking. ICML Liwei Wu, Cho-Jui Hsieh, James Sharpnack
2018	J	`jnl`	SQL-Rank: A Listwise Approach to Collaborative Ranking. CoRR Liwei Wu, Cho-Jui Hsieh, James Sharpnack
2017	—	`conf`	A Sharp Error Analysis for the Fused Lasso, with Application to Approximate Changepoint Screening. NIPS Kevin Lin, James Sharpnack, Alessandro Rinaldo, Ryan J. Tibshirani
2017	—	`conf`	Higher-Order Total Variation Classes on Grids: Minimax Theory and Trend Filtering Methods. NIPS Veeranjaneyulu Sadhanala, Yu-Xiang Wang, James Sharpnack, Ryan J. Tibshirani
2017	A*	`conf`	Large-scale Collaborative Ranking in Near-Linear Time. KDD Liwei Wu, Cho-Jui Hsieh, James Sharpnack
2017	J	`jnl`	The DFS Fused Lasso: Linear-Time Denoising over General Graphs. J. Mach. Learn. Res. Oscar Hernan Madrid Padilla, James Sharpnack, James G. Scott, Ryan J. Tibshirani
2016	J	`jnl`	Detecting Anomalous Activity on Networks With the Graph Fourier Scan Statistic. IEEE Trans. Signal Process. James Sharpnack, Alessandro Rinaldo, Aarti Singh
2016	J	`jnl`	Trend Filtering on Graphs. J. Mach. Learn. Res. Yu-Xiang Wang, James Sharpnack, Alexander J. Smola, Ryan J. Tibshirani
2015	A	`conf`	Trend Filtering on Graphs. AISTATS Yu-Xiang Wang, James Sharpnack, Alexander J. Smola, Ryan J. Tibshirani
2014	J	`jnl`	Trend Filtering on Graphs. CoRR Yu-Xiang Wang, James Sharpnack, Alexander J. Smola, Ryan J. Tibshirani
2013	—	`conf`	A path algorithm for localizing anomalous activity in graphs. GlobalSIP James Sharpnack
2013	A	`conf`	Changepoint Detection over Graphs with the Spectral Scan Statistic. AISTATS James Sharpnack, Aarti Singh, Alessandro Rinaldo
2013	A	`conf`	Detecting Activations over Graphs using Spanning Tree Wavelet Bases. AISTATS James Sharpnack, Aarti Singh, Akshay Krishnamurthy
2013	—	`—`	Graph Structured Normal Means Inference. James Sharpnack
2013	—	`conf`	Near-optimal Anomaly Detection in Graphs using Lovasz Extended Scan Statistic. NIPS James Sharpnack, Akshay Krishnamurthy, Aarti Singh
2013	—	`conf`	Near-optimal and computationally efficient detectors for weak and sparse graph-structured patterns. GlobalSIP James Sharpnack, Aarti Singh
2013	J	`jnl`	Recovering Graph-Structured Activations using Adaptive Compressive Measurements CoRR Akshay Krishnamurthy, James Sharpnack, Aarti Singh
2013	Misc	`conf`	Recovering graph-structured activations using adaptive compressive measurements. ACSSC Akshay Krishnamurthy, James Sharpnack, Aarti Singh
2012	J	`jnl`	Changepoint Detection over Graphs with the Spectral Scan Statistic CoRR James Sharpnack, Alessandro Rinaldo, Aarti Singh
2012	J	`jnl`	Detecting Activations over Graphs using Spanning Tree Wavelet Bases CoRR Akshay Krishnamurthy, James Sharpnack, Aarti Singh
2012	A	`conf`	Sparsistency of the Edge Lasso over Graphs. AISTATS James Sharpnack, Aarti Singh, Alessandro Rinaldo
2012	A*	`conf`	Variance Function Estimation in High-dimensions. ICML Mladen Kolar, James Sharpnack
2010	—	`conf`	Identifying graph-structured activation patterns in networks. NIPS James Sharpnack, Aarti Singh