Peer-Reviewed Publications
Reverse chronological order. Bold = Ritwik Sinha. Also see Google Scholar.
2025
- Experimentation under Treatment Dependent Network Interference. Proceedings of the 41st Conference on Uncertainty in Artificial Intelligence (UAI 2025), PMLR 286.
- Combining A/A Data and LLMs for Improved Content Evaluation. Companion Proceedings of the ACM on Web Conference 2025, pp. 2749–2753.
- Doc-React: Multi-page Heterogeneous Document Question-Answering. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL), Short Papers, pp. 67–78.
- Image Difference Captioning via Adversarial Preference Optimization. Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 33746–33758.
- Augment Before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion. Findings of the Association for Computational Linguistics: EMNLP 2025, pp. 20769–20786.
- Explainable Chain-of-Thought Reasoning: An Empirical Analysis on State-Aware Reasoning Dynamics. Findings of the Association for Computational Linguistics: EMNLP 2025, pp. 16660–16667.
- Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering. 2025 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL).
- Linking Clicks to Bricks: Understanding the Effects of Email Advertising on Multichannel Sales. Information Systems Research, 36(1): 225–238.
2024
- On LLM Augmented A/B Experimentation. Causality and Large Models Workshop at NeurIPS.
- BOTracle: A Framework for Discriminating Bots and Humans. International Workshops of the European Symposium on Research in Computer Security (ESORICS-W).
- On Online Experimentation without Device Identifiers. International Conference on Machine Learning (ICML), PMLR Vol. 235.
- Continuous Treatment Effects with Surrogate Outcomes. International Conference on Machine Learning (ICML), PMLR Vol. 235, pp. 58306–58328.
- Online Experimentation under Privacy-Induced Identity Fragmentation. Privacy Regulation and Protection in Machine Learning Workshop at ICLR.
- A/B Testing under Interference with Partial Network Information. International Conference on Artificial Intelligence and Statistics (AISTATS), PMLR Vol. 238, pp. 19–27.
- Discovering and Mitigating Biases in CLIP-based Image Editing. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
2023
- VADER: Video Alignment Differencing and Retrieval. International Conference on Computer Vision (ICCV) 2023.
- Direct Inference of Effect of Treatment (DIET) for a Cookieless World. International Conference on Artificial Intelligence and Statistics (AISTATS), pp. 1869–1887. PMLR.
- Privacy Aware Experiments without Cookies. Proceedings of the 16th ACM International Conference on Web Search and Data Mining (WSDM), pp. 1144–1147.
- Protecting Proprietary Information in on-Device Machine Learning Models. Proceedings of the 24th International Workshop on Mobile Computing Systems and Applications (HotMobile), pp. 138–138.
- Anytime-Valid Confidence Sequences in an Enterprise A/B Testing Platform. Proceedings of The Web Conference 2023.
- Video Manipulations Beyond Faces: A Dataset with Human-Machine Analysis. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 643–652.
2022
- Contextualized Styling of Images for Web Interfaces using Reinforcement Learning. IEEE International Symposium on Multimedia (ISM), pp. 169–172.
- Towards Preserving Server-Side Privacy of On-Device Models. Proceedings of The Web Conference 2022.
- Generating and Controlling Diversity in Image Search. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 411–419.
2021
- BOhance: Bayesian Optimization for Content Enhancement. 2021 IEEE International Symposium on Multimedia (ISM), pp. 17–24.
- Bayesian Modeling of Marketing Attribution. JSM Proceedings, Marketing Section. American Statistical Association.
2020
- Botcha: Detecting Malicious Non-Human Traffic in the Wild. Workshop on Online Misinformation- and Harm-Aware Recommender Systems (OHARS).
- Bayesian Estimation of the Effect of Television Advertising on Web Metrics. 7th IEEE International Conference on Data Science and Advanced Analytics (DSAA).
- Attribution IQ: Scalable Game Theoretic Attribution in Web Analytics. Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM).
- Artificial Intelligence: How is it changing medical sciences and its future? Indian Journal of Dermatology, 65(5): 365.
- Predicting Outcomes in Limited-Overs Cricket Matches. Proceedings of the 6th IKDD Conference on Data Science, ACM.
2019
- RAPID: Rapid and Precise Interpretable Decision Sets. IEEE International Conference on Big Data (BigData).
- On Densification for Minwise Hashing. Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI).
2018
- Forecasting Granular Audience Size for Online Advertising. AdKDD and TargetAd Workshop at KDD.
- Saliency Prediction for Mobile User Interfaces. IEEE Winter Conference on Applications of Computer Vision (WACV).
2016–2017
- Linking Clicks to Bricks: Estimating Causal Effects of Email Ads on Offline Sales. Conference on Information Systems & Technology (CIST), 2017; Workshop on Information Systems and Economics (WISE), 2016.
- Audience Prism: Segmentation and Early Classification of Visitors Based on Reading Interests. 3rd IKDD Conference on Data Science, ACM, 2016.
2014–2015
- Improving Marketing Interactions by Mining Sequences. Web Information Systems Engineering (WISE) 2015, pp. 277–292. Springer.
- A Non-parametric Approach to the Multi-channel Attribution Problem. WISE 2015, pp. 338–352. Springer.
- Evaluation of Interpolants in Their Ability to Fit Seismometric Time Series. Mathematics, 3(3), 666–689, 2015.
- Probabilistic Deduplication of Anonymous Web Traffic. Posters, 24th International World Wide Web Conference (WWW '15), Florence.
- Community Reaction – From Blogs to Facebook. 2nd IKDD Conference on Data Science, ACM, 2015.
- Estimating the Incremental Effects of Interactions for Marketing Attribution. IEEE Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC), 2014.
- Joint modeling tumor burden and time to event data in oncology trials. Pharmaceutical Statistics, 13(5), 286–293, 2014.
- VizClick: Visualizing Clickstream Data. 5th International Conference on Information Visualization, pp. 247–255, 2014.
2012–2013
- Will your Facebook post be engaging? 1st Workshop on User Engagement Optimization, pp. 25–28, ACM, 2013.
- Hewlett Packard: Delivering Profitable Growth for HPDirect.com Using Operations Research. Interfaces, 43(1), 48–61, 2013.
- Customer Targeting Framework: Scalable Repeat Purchase Scoring Algorithm for Large Databases. IPCSIT vol. 25, 2012.
2007–2011
- A Joint Model for Tumor Burden and Progression-Free Survival. JSM Proceedings, Biopharmaceutical Section, ASA, 2011.
- Longitudinal Methods for Analysis of Tumor Burden Data. JSM Proceedings, Biopharmaceutical Section, ASA, 2010.
- Dasatinib 100 mg once daily minimizes the occurrence of pleural effusion in patients with CML-CP. Cancer, 116(2), 377–386, 2010.
- Bayesian Intervals for Linkage Locations. Genetic Epidemiology, 33(7):604–16, 2009.
- Haseman Elston Regression in Ascertained Samples: Importance of Dependent Variable and Mean Correction Factor Selection. Human Heredity, 65(2):66–76, 2008.
- Efficient Intermediate Fine Mapping: Confidence Set Inference with Likelihood Ratio Test Statistic. Genetic Epidemiology, 31(8):922–36, 2007.
- Genetic Linkage Analysis of Sarcoidosis Phenotypes: The SAGA Study. Genes and Immunity, 8(5):379–86, 2007.
- Genetic Characterization and Fine Mapping of Susceptibility Genes for Sarcoidosis in African Americans on Chromosome 5. Human Genetics, 120(3):420–30, 2006.
- Marker-marker Linkage Disequilibrium does not Necessarily Lead to Inflated type I error in Multipoint Model-free Linkage Analysis of Incomplete Pedigrees. American Journal of Human Genetics, 79:396–401, 2006.
- Local False Discovery Rate and Minimum Total Error Rate Approaches to Identifying Interesting Chromosomal Regions. BMC Genetics, 6(Suppl 1):S23, 2005.
- Efficient Confidence Sets for Disease Gene Locations. Doctoral dissertation, Case Western Reserve University, 2007.
ASH and ASCO conference abstracts and additional proceedings from 2007–2008 available on request.