Markov group testing. - Joseph Wang 001; Venkatesh Saligrama; David A. Castañón (Allerton, 2010)

Structural similarity and distance in learning. - Joseph Wang 001; Venkatesh Saligrama; David A. Castañón (Allerton, 2011)

Local Supervised Learning through Space Partitioning. - Joseph Wang 001; Venkatesh Saligrama (NIPS, 2012)

Locally-Linear Learning Machines (L3M). - Joseph Wang 001; Venkatesh Saligrama (ACML, 2013)

Online local linear classification. - Joseph Wang 001; Kirill Trapeznikov; Venkatesh Saligrama (CAMSAP, 2013)

An LP for Sequential Learning Under Budgets. - Joseph Wang 001; Kirill Trapeznikov; Venkatesh Saligrama (AISTATS, 2014)

Model Selection by Linear Programming. - Joseph Wang 001; Tolga Bolukbasi; Kirill Trapeznikov; Venkatesh Saligrama (ECCV (2), 2014)

Fast margin-based cost-sensitive classification. - Feng Nan; Joseph Wang 001; Kirill Trapeznikov; Venkatesh Saligrama (ICASSP, 2014)

Local learning by partitioning - Joseph Wang 001 (2014)

Feature-Budgeted Random Forest. - Feng Nan; Joseph Wang 001; Venkatesh Saligrama (ICML, 2015)

Efficient Learning by Directed Acyclic Graph For Resource Constrained Prediction. - Joseph Wang 001; Kirill Trapeznikov; Venkatesh Saligrama (NIPS, 2015)

Max-Cost Discrete Function Evaluation Problem under a Budget. - Feng Nan; Joseph Wang 001; Venkatesh Saligrama (CoRR, 2015)

Sensor Selection by Linear Programming. - Joseph Wang 001; Kirill Trapeznikov; Venkatesh Saligrama (CoRR, 2015)

A multi-resolution approach for discovery and 3-D modeling of archaeological sites using satellite imagery and a UAV-borne camera. - Huanyu Ding; Eric Cristofalo; Joseph Wang 001; David A. Castañón; Eduardo Montijano; Venkatesh Saligrama; Mac Schwager (ACC, 2016)

Energy-Efficient Adaptive Classifier Design for Mobile Systems. - Zafar Takhirov; Joseph Wang 001; Venkatesh Saligrama; Ajay Joshi (ISLPED, 2016)

Pruning Random Forests for Prediction on a Budget. - Feng Nan; Joseph Wang 001; Venkatesh Saligrama (NIPS, 2016)

Structured Prediction with Test-time Budget Constraints. - Tolga Bolukbasi; Kai-Wei Chang; Joseph Wang 001; Venkatesh Saligrama (CoRR, 2016)

Optimally Pruning Decision Tree Ensembles With Feature Cost. - Feng Nan; Joseph Wang 001; Venkatesh Saligrama (CoRR, 2016)

Resource Constrained Structured Prediction. - Tolga Bolukbasi; Kai-Wei Chang; Joseph Wang 001; Venkatesh Saligrama (AAAI, 2017)

Using Machine Learning techniques for identification of Chronic Traumatic Encephalopathy related Spectroscopic Biomarkers. - Marcia S. Louis; Michael Alosco; Benjamin Rowland; HuiHun Liao; Joseph Wang 001; Inga Koerte; Martha Shenton; Robert Stern; Ajay Joshi; Alexander P. Lin (AIPR, 2017)

Adaptive Neural Networks for Efficient Inference. - Tolga Bolukbasi; Joseph Wang 001; Ofer Dekel; Venkatesh Saligrama (ICML, 2017)

Adaptive Neural Networks for Fast Test-Time Prediction. - Tolga Bolukbasi; Joseph Wang 001; Ofer Dekel; Venkatesh Saligrama (CoRR, 2017)

Field of Groves: An Energy-Efficient Random Forest. - Zafar Takhirov; Joseph Wang 001; Marcia S. Louis; Venkatesh Saligrama; Ajay Joshi (CoRR, 2017)

Probabilistic Semantic Retrieval for Surveillance Videos With Activity Graphs. - Yuting Chen; Joseph Wang 001; Yannan Bai; Gregory D. Castañón; Venkatesh Saligrama (IEEE Trans. Multim., 2019)

Wakeword Detection Under Distribution Shifts. - Sree Hari Krishnan Parthasarathi; Lu Zeng; Christin Jose; Joseph Wang 001 (TSD, 2022)

Latency Control for Keyword Spotting. - Christin Jose; Joseph Wang 001; Grant P. Strimel; Mohammad Omar Khursheed; Yuriy Mishchenko; Brian Kulis (CoRR, 2022)