J. Sharpnack

Most-cited papers

SSE-PT: Sequential Recommendation Via Personalized Transformer
Liwei Wu, Shuqing Li, Cho-Jui Hsieh, J. Sharpnack
2020ACM Conference on Recommender Systems323 citations Open access
Semantic Scholar
Trend Filtering on Graphs
Yu-Xiang Wang, J. Sharpnack, Alex Smola, R. Tibshirani
2014Journal of machine learning research265 citations
Semantic Scholar
Sparsistency of the Edge Lasso over Graphs
J. Sharpnack, A. Rinaldo, Aarti Singh
2012International Conference on Artificial Intelligence and Statistics77 citations
Semantic Scholar
Changepoint Detection over Graphs with the Spectral Scan Statistic
J. Sharpnack, A. Rinaldo, Aarti Singh
2012International Conference on Artificial Intelligence and Statistics73 citations
Semantic Scholar
The DFS Fused Lasso: Linear-Time Denoising over General Graphs
Oscar Hernan Madrid Padilla, J. Sharpnack, James G. Scott, R. Tibshirani
2016Journal of machine learning research70 citations
Semantic Scholar
Near-optimal Anomaly Detection in Graphs using Lovasz Extended Scan Statistic
J. Sharpnack, A. Krishnamurthy, Aarti Singh
2013Neural Information Processing Systems70 citations
Semantic Scholar
A Sharp Error Analysis for the Fused Lasso, with Application to Approximate Changepoint Screening
Kevin Lin, J. Sharpnack, A. Rinaldo, R. Tibshirani
2017Neural Information Processing Systems59 citations
Semantic Scholar
Psychological stress of bicycling with traffic: examining heart rate variability of bicyclists in natural urban environments
D. Fitch, J. Sharpnack, S. Handy
202054 citations
Semantic Scholar
Can auxiliary indicators improve COVID-19 forecasting and hotspot prediction?
Daniel J. McDonald, Jacob Bien, Alden Green, A. Hu +9 more
2021Proceedings of the National Academy of Sciences of the United States of America53 citations Open access
Semantic Scholar
Detecting Activations over Graphs using Spanning Tree Wavelet Bases
J. Sharpnack, Aarti Singh, A. Krishnamurthy
2012International Conference on Artificial Intelligence and Statistics53 citations
Semantic Scholar
RLSbench: Domain Adaptation Under Relaxed Label Shift
S. Garg, Nick Erickson, J. Sharpnack, Alexander J. Smola +2 more
2023International Conference on Machine Learning50 citations Open access
Semantic Scholar
An Efficient Algorithm For Generalized Linear Bandit: Online Stochastic Gradient Descent and Thompson Sampling
Qin Ding, Cho-Jui Hsieh, J. Sharpnack
2020International Conference on Artificial Intelligence and Statistics48 citations
Semantic Scholar
SQL-Rank: A Listwise Approach to Collaborative Ranking
Liwei Wu, Cho-Jui Hsieh, J. Sharpnack
2018International Conference on Machine Learning47 citations
Semantic Scholar
Detecting Anomalous Activity on Networks With the Graph Fourier Scan Statistic
J. Sharpnack, A. Rinaldo, Aarti Singh
2013IEEE Transactions on Signal Processing43 citations Open access
Semantic Scholar
Robust Stochastic Linear Contextual Bandits Under Adversarial Attacks
Qin Ding, Cho-Jui Hsieh, J. Sharpnack
2021International Conference on Artificial Intelligence and Statistics42 citations
Semantic Scholar
Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers
Liwei Wu, Shuqing Li, Cho-Jui Hsieh, J. Sharpnack
2019Neural Information Processing Systems38 citations
Semantic Scholar
Exact Asymptotics for the Scan Statistic and Fast Alternatives
J. Sharpnack, E. Arias-Castro
201434 citations Open access
Semantic Scholar
Adaptive nonparametric regression with the K-nearest neighbour fused lasso.
O. Madrid-Padilla, J. Sharpnack, Yan-Zhen Chen, D. Witten
2020Biometrika31 citations Open access
Semantic Scholar
Higher-Order Total Variation Classes on Grids: Minimax Theory and Trend Filtering Methods
Veeranjaneyulu Sadhanala, Yu-Xiang Wang, J. Sharpnack, R. Tibshirani
2017Neural Information Processing Systems31 citations
Semantic Scholar
Wastewater-Based Epidemiology for COVID-19: Handling qPCR Nondetects and Comparing Spatially Granular Wastewater and Clinical Data Trends
Hannah R. Safford, R. Zuniga-Montanez, Minji Kim, Xiao-Long Wu +4 more
2022ACS ES&T water28 citations Open access
Semantic Scholar
Approximate Recovery in Changepoint Problems, from $\ell_2$ Estimation Error Rates
Kevin Lin, J. Sharpnack, A. Rinaldo, R. Tibshirani
201627 citations
Semantic Scholar
Proteogenomic Analysis of Surgically Resected Lung Adenocarcinoma
Michael F. Sharpnack, Nilini Ranbaduge, Arunima Srivastava, F. Cerciello +16 more
2018Journal of Thoracic Oncology23 citations Open access
Semantic Scholar
Estimating Graphlet Statistics via Lifting
K. Paramonov, Dmitry Shemetov, J. Sharpnack
2018Knowledge Discovery and Data Mining21 citations Open access
Semantic Scholar
Recovering graph-structured activations using adaptive compressive measurements
Akshay Krishnamuthy, J. Sharpnack, Aarti Singh
2013Asilomar Conference on Signals, Systems and Computers21 citations
Semantic Scholar
Large-scale Collaborative Ranking in Near-Linear Time
Liwei Wu, Cho-Jui Hsieh, J. Sharpnack
2017Knowledge Discovery and Data Mining20 citations
Semantic Scholar
Identifying graph-structured activation patterns in networks
J. Sharpnack, Aarti Singh
2010Neural Information Processing Systems19 citations
Semantic Scholar
Impact of sensor data pre-processing strategies and selection of machine learning algorithm on the prediction of metritis events in dairy cattle.
Gema Vidal, J. Sharpnack, P. Pinedo, Ching-Ju Tsai +2 more
2023Preventive Veterinary Medicine16 citations Open access
Semantic Scholar
Multimodal AutoML for Image, Text and Tabular Data
Nick Erickson, Xingjian Shi, J. Sharpnack, Alexander J. Smola
2022Knowledge Discovery and Data Mining15 citations
Semantic Scholar
Syndicated Bandits: A Framework for Auto Tuning Hyper-parameters in Contextual Bandit Algorithms
Qin Ding, Yue Kang, Yi-Wei Liu, T. C. M. Lee +2 more
2021Neural Information Processing Systems12 citations Open access
Semantic Scholar
Variance Function Estimation in High-dimensions
M. Kolar, J. Sharpnack
2012International Conference on Machine Learning12 citations
Semantic Scholar
Graph DNA: Deep Neighborhood Aware Graph Encoding for Collaborative Filtering
Liwei Wu, Hsiang-Fu Yu, Nikhil S. Rao, J. Sharpnack +1 more
2019International Conference on Artificial Intelligence and Statistics10 citations
Semantic Scholar
Adaptive Non-Parametric Regression With the $K$-NN Fused Lasso
Oscar Hernan Madrid Padilla, J. Sharpnack, Yan-Zhen Chen, D. Witten
201810 citations
Semantic Scholar
Fused density estimation: theory and methods
R. Bassett, J. Sharpnack
2018Journal of The Royal Statistical Society Series B-statistical Methodology7 citations Open access
Semantic Scholar
Comparative performance analysis of three machine learning algorithms applied to sensor data registered by a leg-attached accelerometer to predict metritis events in dairy cattle
Gema Vidal, J. Sharpnack, P. Pinedo, Ching-Ju Tsai +2 more
2023Frontiers in Animal Science6 citations Open access
Semantic Scholar
Temporal Collaborative Ranking Via Personalized Transformer
Liwei Wu, Shuqing Li, Cho-Jui Hsieh, J. Sharpnack
2019arXiv.org5 citations
Semantic Scholar
Learning Patterns for Detection with Multiscale Scan Statistics
J. Sharpnack
2018Annual Conference Computational Learning Theory5 citations
Semantic Scholar
Understanding Origin-Destination Ride Demand with Interpretable and Scalable Nonnegative Tensor Decomposition
Xiaoyue Li, Ran Sun, J. Sharpnack, Yueyue Fan
2023Transportation Science4 citations
Semantic Scholar
Exponential family trend filtering on lattices
Veeranjaneyulu Sadhanala, R. Bassett, J. Sharpnack, D. McDonald
2022Electronic Journal of Statistics4 citations Open access
Semantic Scholar
The impact of COVID-19 vaccination on California’s return to normalcy
M. Daza-Torres, Y. García, A. Schmidt, B. Pollock +2 more
2021medRxiv4 citations Open access
Semantic Scholar
Unsupervised Object Segmentation with Explicit Localization Module
Weitang Liu, Li-Feng Wei, J. Sharpnack, John Douglas Owens
2019arXiv.org4 citations
Semantic Scholar
Near-optimal and computationally efficient detectors for weak and sparse graph-structured patterns
J. Sharpnack, Aarti Singh
2013IEEE Global Conference on Signal and Information Processing4 citations
Semantic Scholar
Optimizing machine learning methods to discover strong gravitational lenses in the deep lens survey
Vasan G C Keerthi, Stephen Sheng, T. Jones, Chi-Po P. Choi +1 more
2022Monthly notices of the Royal Astronomical Society3 citations Open access
Semantic Scholar
The DFS fused lasso: nearly optimal linear-time denoising over graphs and trees
Oscar Hernan Madrid Padilla, James G. Scott, J. Sharpnack, R. Tibshirani
20163 citations
Semantic Scholar
On L2-Consistency of Nearest Neighbor Matching
J. Sharpnack
2019IEEE Transactions on Information Theory2 citations
Semantic Scholar
Graph Structured Normal Means Inference
J. Sharpnack
20132 citations
Semantic Scholar
A path algorithm for localizing anomalous activity in graphs
J. Sharpnack
2013IEEE Global Conference on Signal and Information Processing2 citations
Semantic Scholar
An Unsupervised Hunt for Gravitational Lenses
Stephen Sheng, C. KeerthiVasanG, Chi-Po P. Choi, J. Sharpnack +1 more
2022International Conference on Artificial Intelligence and Statistics1 citations
Semantic Scholar
Multiscale Non-stationary Stochastic Bandits
Qin Ding, Cho-Jui Hsieh, J. Sharpnack
2020arXiv.org1 citations
Semantic Scholar
Distributed Cartesian Power Graph Segmentation for Graphon Estimation
Shitong Wei, O. Madrid-Padilla, J. Sharpnack
2018arXiv.org1 citations
Semantic Scholar
Mean and variance estimation in high-dimensional heteroscedastic models with non-convex penalties
J. Sharpnack, M. Kolar
20141 citations
Semantic Scholar