Smart Online Placement Examination. - Tushar Chandra; Gitanjali Gunnam; Joseph E. Urban (Web Technologies, Applications, and Services, 2005)

Bigtable: A Distributed Storage System for Structured Data (Awarded Best Paper!). - Fay Chang; Jeffrey Dean; Sanjay Ghemawat; Wilson C. Hsieh; Deborah A. Wallach; Michael Burrows; Tushar Chandra; Andrew Fikes; Robert Gruber (OSDI, 2006)

Efficient projections onto the l1-ball for learning in high dimensions. - John C. Duchi; Shai Shalev-Shwartz; Yoram Singer; Tushar Chandra (ICML, 2008)

Bigtable: A Distributed Storage System for Structured Data. - Fay Chang; Jeffrey Dean; Sanjay Ghemawat; Wilson C. Hsieh; Deborah A. Wallach; Michael Burrows; Tushar Chandra; Andrew Fikes; Robert E. Gruber (ACM Trans. Comput. Syst., 2008)

Regressing Towards Simpler Prediction Systems. - Tushar Chandra (WSDM, 2015)

Wide & Deep Learning for Recommender Systems. - Heng-Tze Cheng; Levent Koc 001; Jeremiah Harmsen; Tal Shaked; Tushar Chandra; Hrishi Aradhye; Glen Anderson; Greg Corrado; Wei Chai; Mustafa Ispir; Rohan Anil; Zakaria Haque; et al. (DLRS@RecSys, 2016)

SlateQ: A Tractable Decomposition for Reinforcement Learning with Recommendation Sets. - Eugene Ie; Vihan Jain; Jing Wang; Sanmit Narvekar; Ritesh Agarwal; Rui Wu 020; Heng-Tze Cheng; Tushar Chandra; Craig Boutilier (IJCAI, 2019)

Reinforcement Learning for Slate-based Recommender Systems: A Tractable Decomposition and Practical Methodology. - Eugene Ie; Vihan Jain; Jing Wang; Sanmit Narvekar; Ritesh Agarwal; Rui Wu 020; Heng-Tze Cheng; Morgane Lustman; Vince Gatto; Paul Covington; Jim McFadden; Tushar Chandra; et al. (CoRR, 2019)

Zero-Shot Heterogeneous Transfer Learning from Recommender Systems to Cold-Start Search Retrieval. - Tao Wu; Ellie Ka In Chio; Heng-Tze Cheng; Yu Du; Steffen Rendle; Dima Kuzmin; Ritesh Agarwal; Li Zhang 001; John R. Anderson; Sarvjeet Singh; Tushar Chandra; Ed H. Chi; et al. (CIKM, 2020)

Mondegreen: A Post-Processing Solution to Speech Recognition Error Correction for Voice Search Queries. - Sukhdeep S. Sodhi; Ellie Ka In Chio; Ambarish Jash; Santiago Ontañón; Ajit Apte; Ankit Kumar; Ayooluwakunmi Jeje; Dima Kuzmin; Harry Fung; Heng-Tze Cheng; Jon Effrat; Tarush Bali; et al. (KDD, 2021)

An Efficient Model for Non-Distal Presentation Attack Detection✱. - Tushar Chandra; Anoop Namboodiri (ICVGIP, 2023)