Note on "Guarantees in Auctions: The Auction House as Negotiator and Managerial Decision Maker". - Eric A. Greenleaf; Ma Jun; Wanhua Qiu; Ambar G. Rao; Atanu R. Sinha (Manag. Sci., 2002)

Bidding Behavior in Descending and Ascending Auctions. - Amar Cheema; Dipankar Chakravarti; Atanu R. Sinha (Mark. Sci., 2012)

Audience Prism: Segmentation and Early Classification of Visitors Based on Reading Interests. - Lilly Kumari; Sunny Dhamnani; Akshat Bhatnagar; Atanu R. Sinha; Ritwik Sinha (CODS, 2016)

Summarizing Multimedia Content. - Natwar Modani; Pranav Maneriker; Gaurush Hiranandani; Atanu R. Sinha; Utpal; Vaishnavi Subramanian; Shivani Gupta (WISE (2), 2016)

Automatic Assignment of Topical Icons to Documents for Faster File Navigation. - Rishiraj Saha Roy; Abhijeet Singh; Prashant Chawla; Shubham Saxena; Atanu R. Sinha (ICDAR, 2017)

Enhanced Personalized Targeting Using Augmented Reality. - Gaurush Hiranandani; Kumar Ayush; Varsha Chinnaobireddy; Atanu R. Sinha; Pranav Maneriker; Sai Varun Reddy Maram (ISMAR Adjunct, 2017)

Anti-Ad Blocking Strategy: Measuring its True Impact. - Atanu R. Sinha; Meghanath Macha; Pranav Maneriker; Sopan Khosla; Avani Samdariya; Navjot Singh (ADKDD@KDD, 2017)

Measurement of Users' Experience on Online Platforms from Their Behavior Logs. - Deepali Jain; Atanu R. Sinha; Deepali Gupta; Nikhil Sheoran; Sopan Khosla (PAKDD (1), 2018)

Reports of the Workshops of the 32nd AAAI Conference on Artificial Intelligence. - Bruno Bouchard 001; Kevin Bouchard; Noam Brown; Niyati Chhaya; Eitan Farchi; Sébastien Gaboury; Christopher W. Geib; Amelie Gyrard; Kokil Jaidka; Sarah Keren; Roni Khardon; Parisa Kordjamshidi; et al. (AI Mag., 2018)

Editorial for the 2nd Workshop on Affective Content Analysis (AffCon) at AAAI 2019. - Niyati Chhaya; Kokil Jaidka; Atanu R. Sinha; Lyle H. Ungar (AffCon@AAAI, 2019)

Surveys without Questions: A Reinforcement Learning Approach. - Atanu R. Sinha; Deepali Jain; Nikhil Sheoran; Sopan Khosla; Reshmi Sasidharan (AAAI, 2019)

Mentor Pattern Identification from Product Usage Logs. - Ankur Garg; Aman Kharb; Yash H. Malviya; J. P. Sagar; Atanu R. Sinha; Iftikhar Ahamath Burhanuddin; Sunav Choudhary (PAKDD (3), 2019)

Forecasting Granular Audience Size for Online Advertising. - Ritwik Sinha; Dhruv Singal; Pranav Maneriker; Kushal Chawla; Yash Shrivastava; Deepak Pai; Atanu R. Sinha (CoRR, 2019)

Editorial for the 3rd Workshop on Affective Content Analysis (AffCon) at AAAI 2020. - Niyati Chhaya; Kokil Jaidka; Jennifer Healey; Lyle H. Ungar; Atanu R. Sinha (AffCon@AAAI, 2020)

An RNN-Survival Model to Decide Email Send Times. - Harvineet Singh; Moumita Sinha; Atanu R. Sinha; Sahil Garg; Neha Banerjee (CoRR, 2020)

Data-Sharing Economy: Value-Addition from Data meets Privacy. - Piyush Bagad; Subrata Mitra; Sunny Dhamnani; Atanu R. Sinha; Raunak Gautam; Haresh Khanna (WSDM, 2021)

Personalized Detection of Cognitive Biases in Actions of Users from Their Logs: Anchoring and Recency Biases. - Atanu R. Sinha; Navita Goyal; Sunny Dhamnani; Tanay Asija; Raja K. Dubey; M. V. Kaarthik Raja; Georgios Theocharous (CoRR, 2022)

B2B Advertising: Joint Dynamic Scoring of Account and Users. - Atanu R. Sinha; Gautam Choudhary; Mansi Agarwal; Shivansh Bindal; Abhishek Pande; Camille Girabawe (CoRR, 2022)

DataCockpit: A Toolkit for Data Lake Navigation and Monitoring Utilizing Quality and Usage Information. - Arpit Narechania; Surya Chakraborty; Shivam Agarwal; Atanu R. Sinha; Ryan A. Rossi; Fan Du; Jane Hoffswell; Shunan Guo; Eunyee Koh; Alex Endert; Shamkant B. Navathe (IEEE Big Data, 2023)

DataPilot: Utilizing Quality and Usage Information for Subset Selection during Visual Data Preparation. - Arpit Narechania; Fan Du; Atanu R. Sinha; Ryan A. Rossi; Jane Hoffswell; Shunan Guo; Eunyee Koh; Shamkant B. Navathe; Alex Endert (CHI, 2023)

Delivery Optimized Discovery in Behavioral User Segmentation under Budget Constraint. - Harshita Chopra; Atanu R. Sinha; Sunav Choudhary; Ryan A. Rossi; Paavan Kumar Indela; Veda Pranav Parwatala; Srinjayee Paul; Aurghya Maiti (CIKM, 2023)

The Role of Unattributed Behavior Logs in Predictive User Segmentation. - Atanu R. Sinha; Harshita Chopra; Aurghya Maiti; Atishay Ganesh; Sarthak Kapoor; Saili Myana; Saurabh Mahapatra (CIKM, 2023)

Learning to Infer Unobserved Behaviors: Estimating User's Preference for a Site over Other Sites. - Atanu R. Sinha; Tanay Anand; Paridhi Maheshwari; A V. Lakshmy; Vishal Jain (CoRR, 2023)

Fundamental Limits of Throughput and Availability: Applications to prophet inequalities and transaction fee mechanism design. - Aadityan Ganesh; Jason D. Hartline; Atanu R. Sinha; Matthew vonAllmen (EC, 2024)

Fundamental Limits of Throughput and Availability: Applications to prophet inequalities & transaction fee mechanism design. - Aadityan Ganesh; Jason D. Hartline; Atanu R. Sinha; Matthew vonAllmen (CoRR, 2024)

Guidance Source Matters: How Guidance from AI, Expert, or a Group of Analysts Impacts Visual Data Preparation and Analysis. - Arpit Narechania; Alex Endert; Atanu R. Sinha (IUI, 2025)

Think Global, Act Local: Bayesian Causal Discovery with Language Models in Sequential Data. - Prakhar Verma; David Arbour; Sunav Choudhary; Harshita Chopra; Arno Solin; Atanu R. Sinha (CoRR, 2025)

Agentic Enterprise: AI-Centric User to User-Centric AI. - Arpit Narechania; Alex Endert; Atanu R. Sinha (CoRR, 2025)

Subjective Behaviors and Preferences in LLM: Language of Browsing. - Sai Sundaresan; Harshita Chopra; Atanu R. Sinha; Koustava Goswami; Nagasai Saketh Naidu; Raghav Karan; N. Anushka (CoRR, 2025)