Will your facebook post be engaging? - Balaji Vasan Srinivasan; Anandhavelu Natarajan; Ritwik Sinha; Vineet Gupta 002; Shriram Revankar; Balaraman Ravindran (UEO@CIKM, 2013)

Hewlett Packard: Delivering Profitable Growth for HPDirect.com Using Operations Research. - Rohit Tandon; Arnab Chakraborty; Girish Srinivasan; Manav Shroff; Ahmar Abdullah; Bharathan Shamasundar; Ritwik Sinha; Suresh Subramanian; Dave Hill; Prasanna Dhore (Interfaces, 2013)

Estimating the incremental effects of interactions for marketing attribution. - Ritwik Sinha; Shiv Kumar Saini; N. Anadhavelu (BESC, 2014)

VizClick - Visualizing Clickstream Data. - Rajat Kateja; Amerineni Rohith; Piyush Kumar; Ritwik Sinha (IVAPP, 2014)

Community reaction: from blogs to Facebook. - Balaji Vasan Srinivasan; Anandhavelu Natarajan; Ritwik Sinha; Moumita Sinha (CODS, 2015)

Improving Marketing Interactions by Mining Sequences. - Ritwik Sinha; Sanket Mehta; Tapan Bohra; Adit Krishnan (WISE (1), 2015)

A Non-parametric Approach to the Multi-channel Attribution Problem. - Meghanath Macha Yadagiri; Shiv Kumar Saini; Ritwik Sinha (WISE (1), 2015)

Probabilistic Deduplication of Anonymous Web Traffic. - Rishiraj Saha Roy; Ritwik Sinha; Niyati Chhaya; Shiv Kumar Saini (WWW (Companion Volume), 2015)

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)

Saliency Prediction for Mobile User Interfaces. - Prakhar Gupta; Shubh Gupta; Ajaykrishnan Jayagopal; Sourav Pal; Ritwik Sinha (WACV, 2018)

RAPID: Rapid and Precise Interpretable Decision Sets. - Sunny Dhamnani; Dhruv Singal; Ritwik Sinha; Tharun Mohandoss; Manish Dash (IEEE BigData, 2019)

On Densification for Minwise Hashing. - Tung Mai; Anup Rao 002; Matt Kapilevich; Ryan A. Rossi; Yasin Abbasi-Yadkori; Ritwik Sinha (UAI, 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)

Attribution IQ: Scalable Game Theoretic Attribution in Web Analytics. - Ritwik Sinha; Ivan Andrus; Trevor Paulsen (CIKM, 2020)

Predicting Outcomes in Limited-Overs Cricket Matches. - Natwar Modani; Manoj Kilaru; Anjan Kaur; Ritwik Sinha; Harsh Khetan (COMAD/CODS, 2020)

Bayesian Estimation of the Effect of Television Advertising on Web Metrics. - Ritwik Sinha; Shiv Kumar Saini; Moumita Sinha; David Arbour (DSAA, 2020)

Botcha: Detecting Malicious Non-Human Traffic in the Wild. - Sunny Dhamnani; Ritwik Sinha; Vishwa Vinay; Lilly Kumari; Margarita Savova (OHARS@RecSys, 2020)

BOhance: Bayesian Optimization for Content Enhancement. - Trisha Mittal; Vishy Swaminathan; Somdeb Sarkhel; Ritwik Sinha; David Arbour; Saayan Mitra; Dinesh Manocha (ISM, 2021)

Debiasing Image-to-Image Translation Models. - Md. Mehrab Tanjim; Krishna Kumar Singh; Kushal Kafle; Ritwik Sinha; Garrison W. Cottrell (BMVC, 2022)

Contextualized Styling of Images for Web Interfaces using Reinforcement Learning. - Pooja Guhan; Saayan Mitra; Somdeb Sarkhel; Stefano Petrangeli; Ritwik Sinha; Viswanathan Swaminathan 001; Aniket Bera; Dinesh Manocha (ISM, 2022)

Machine Learning-Based Hard/Soft Logic Trade-offs in VTR. - Ritwik Sinha; Seyed Alireza Damghani; Kenneth B. Kent (RSP, 2022)

Generating and Controlling Diversity in Image Search. - Md. Mehrab Tanjim; Ritwik Sinha; Krishna Kumar Singh; Sridhar Mahadevan; David Arbour; Moumita Sinha; Garrison W. Cottrell (WACV, 2022)

Towards Preserving Server-Side Privacy of On-Device Models. - Akanksha Atrey; Ritwik Sinha; Somdeb Sarkhel; Saayan Mitra; David Arbour; Akash Maharaj; Prashant J. Shenoy (WWW (Companion Volume), 2022)

Direct Inference of Effect of Treatment (DIET) for a Cookieless World. - Shiv Shankar; Ritwik Sinha; Saayan Mitra; Moumita Sinha; Madalina Fiterau (AISTATS, 2023)

VADER: Video Alignment Differencing and Retrieval. - Alexander Black 001; Simon Jenni; Tu Bui; Md. Mehrab Tanjim; Stefano Petrangeli; Ritwik Sinha; Viswanathan Swaminathan 001; John P. Collomosse (ICCV, 2023)

SODA: Protecting Proprietary Information in On-Device Machine Learning Models. - Akanksha Atrey; Ritwik Sinha; Saayan Mitra; Prashant J. Shenoy (SEC, 2023)

Video Manipulations Beyond Faces: A Dataset with Human-Machine Analysis. - Trisha Mittal; Ritwik Sinha; Viswanathan Swaminathan 001; John P. Collomosse; Dinesh Manocha (WACV (Workshops), 2023)

Protecting Proprietary Information in on-Device Machine Learning Models. - Akanksha Atrey; Ritwik Sinha; Saayan Mitra; Prashant J. Shenoy (HotMobile, 2023)

Privacy Aware Experiments without Cookies. - Shiv Shankar; Ritwik Sinha; Saayan Mitra; Viswanathan (Vishy) Swaminathan; Sridhar Mahadevan; Moumita Sinha (WSDM, 2023)

Anytime-Valid Confidence Sequences in an Enterprise A/B Testing Platform. - Akash Maharaj; Ritwik Sinha; David Arbour; Ian Waudby-Smith; Simon Z. Liu; Moumita Sinha; Raghavendra Addanki; Aaditya Ramdas; Manas Garg; Viswanathan Swaminathan 001 (WWW (Companion Volume), 2023)

VADER: Video Alignment Differencing and Retrieval. - Alexander Black 001; Simon Jenni; Tu Bui; Md. Mehrab Tanjim; Stefano Petrangeli; Ritwik Sinha; Viswanathan Swaminanthan; John P. Collomosse (CoRR, 2023)

A Mathematical Abstraction for Balancing the Trade-off Between Creativity and Reality in Large Language Models. - Ritwik Sinha; Zhao Song 002; Tianyi Zhou 002 (CoRR, 2023)

A/B testing under Interference with Partial Network Information. - Shiv Shankar; Ritwik Sinha; Yash Chandak; Saayan Mitra; Madalina Fiterau (AISTATS, 2024)

BOTracle: A Framework for Discriminating Bots and Humans. - Jan Kadel; August See; Ritwik Sinha; Mathias Fischer 001 (ESORICS Workshops (2), 2024)

On Online Experimentation without Device Identifiers. - Shiv Shankar; Ritwik Sinha; Madalina Fiterau (ICML, 2024)

Continuous Treatment Effects with Surrogate Outcomes. - Zhenghao Zeng; David Arbour; Avi Feller; Raghavendra Addanki; Ryan A. Rossi; Ritwik Sinha; Edward H. Kennedy (ICML, 2024)

Estimating Counterfactual Distributions under Interference. - Shiv Shankar; Ritwik Sinha; Madalina Fiterau (ML4H@NeurIPS, 2024)

Discovering and Mitigating Biases in CLIP-based Image Editing. - Md. Mehrab Tanjim; Krishna Kumar Singh; Kushal Kafle; Ritwik Sinha; Garrison W. Cottrell (WACV, 2024)

Augment before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion. - Yujian Liu; Jiabao Ji; Tong Yu 001; Ryan A. Rossi; Sungchul Kim; Handong Zhao; Ritwik Sinha; Yang Zhang 001; Shiyu Chang (CoRR, 2024)

Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering. - Yeonjun In; Sungchul Kim; Ryan A. Rossi; Md. Mehrab Tanjim; Tong Yu 001; Ritwik Sinha; Chanyoung Park 001 (NAACL (Long Papers), 2025)

Experimentation under Treatment Dependent Network Interference. - Shiv Shankar; Ritwik Sinha; Madalina Fiterau (UAI, 2025)

Combining A/A Data and LLMs for Improved Content Evaluation. - Shiv Shankar; Ritwik Sinha; Madalina Fiterau (WWW (Companion Volume), 2025)

Linking Clicks to Bricks: Understanding the Effects of Email Advertising on Multichannel Sales. - Mi Zhou; Vibhanshu Abhishek; Edward H. Kennedy; Kannan Srinivasan; Ritwik Sinha (Inf. Syst. Res., 2025)

Exploring Rewriting Approaches for Different Conversational Tasks. - Md. Mehrab Tanjim; Ryan A. Rossi; Mike Rimer; Xiang Chen; Sungchul Kim; Vaishnavi Muppala; Tong Yu 001; Zhengmian Hu; Ritwik Sinha; Wei Zhang; Iftikhar Ahamath Burhanuddin; Franck Dernoncourt (CoRR, 2025)