publications
An up-to-date list is available at Google Scholar.
Preprints
- ArxivPlan*RAG: Planning-guided Retrieval Augmented GenerationarXiv preprint arXiv:2410.20753, 2024
- ArxivTeaching Transformers Causal Reasoning through Axiomatic TrainingarXiv preprint arXiv:2407.07612, 2024
- ArxivTask Facet Learning: A Structured Approach to Prompt OptimizationarXiv preprint arXiv:2406.10504, 2024
Publications
- ICLR 2025Robust Root Cause Diagnosis using In-Distribution InterventionsIn The Thirteenth International Conference on Learning Representations, 2025
- ICLR 2025Causal Order: The Key to Leveraging Imperfect Experts in Causal InferenceIn The Thirteenth International Conference on Learning Representations (ICLR), 2025
- KDD 2024On the Necessity of World Knowledge for Mitigating Missing Labels in Extreme ClassificationIn Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
- ACL 2024NICE: To optimize in-context examples or not?In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
- KDD 2024Optimizing novelty of top-k recommendations using large language models and reinforcement learningIn Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Aug 2024
- TMLR 2024Causal reasoning and large language models: Opening a new frontier for causalityTransactions on Machine Learning Research, Aug 2024
- ICLR 2024Faithful Explanations of Black-box NLP Models Using LLM-generated CounterfactualsIn The Twelfth International Conference on Learning Representations (ICLR), Aug 2024
- ICLR 2023Modeling the Data-Generating Process is Necessary for Out-of-Distribution GeneralizationIn The Eleventh International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1-5, 2023, Aug 2023
- TMLR 2023Machine Explanations and Human UnderstandingTransactions on Machine Learning Research, Aug 2023
- ACL 2023Controlling Learned Effects to Reduce Spurious Correlations in Text ClassifiersIn Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL, Volume 1: Long Papers), Jul 2023
- NeurIPS 2023Causal Effect Regularization: Automated Detection and Removal of Spurious AttributesAdv. Neural Inf. Process. Syst. (NeurIPS), Jul 2023
- UAI 2023Combinatorial categorized bandits with expert rankingsIn Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, Jul 2023
- ICML 2022Matching Learned Causal Effects of Neural Networks with Domain PriorsIn Proceedings of the 39th International Conference on Machine Learning, Jul 2022
- Information Sys. Res.Second screening—the influence of concurrent tv consumption on online shopping behaviorInformation Systems Research, Jul 2022
- Nature Commun.Technology readiness levels for machine learning systemsNature Communications, Oct 2022
- NeurIPS 2022Probing classifiers are unreliable for concept removal and detectionAdv. Neural Inf. Process. Syst. (NeurIPS), Oct 2022
- WSDM 2021Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective InterventionsIn Proceedings of the 14th ACM International Conference on Web Search and Data Mining, Mar 2021
- CHI 2021“Can I Not Be Suicidal on a Sunday?”: Understanding Technology-Mediated Pathways to Mental Health SupportIn Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, May 2021
- AAAI 2021The importance of modeling data missingness in algorithmic fairness: A causal perspectiveProceedings of the AAAI Conference on Artificial Intelligence, May 2021
- ICML 2021Domain Generalization using Causal MatchingIn Proceedings of the 38th International Conference on Machine Learning (ICML), May 2021
- AIES 2021Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same EndIn Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, Jul 2021
- SoCC 2021Sayer: Using Implicit Feedback to Optimize System PoliciesIn Proceedings of the ACM Symposium on Cloud Computing, Nov 2021
- FAccT 2020Explaining machine learning classifiers through diverse counterfactual explanationsProceedings of the 2020 ACM conference on Fairness, Accountability and Transparency (FAccT), Nov 2020
- COMPASS 2019Using Mobile Airtime Credits to Incentivize Learning, Sharing and Survey Response: Experiences from the FieldIn Proceedings of the 3rd ACM SIGCAS Conference on Computing and Sustainable Societies, Jul 2020
- WWW 2020Bursts of Activity: Temporal Patterns of Help-Seeking and Support in Online Mental Health ForumsIn Proceedings of The Web Conference 2020, Apr 2020
- ICWSM 2020Causal Factors of Effective Psychosocial Outcomes in Online Mental Health CommunitiesProceedings of the International AAAI Conference on Web and Social Media (ICWSM), May 2020
- ICWSM 2020Engagement patterns of peer-to-peer interactions on mental health platformsProceedings of the International AAAI Conference on Web and Social Media (ICWSM), May 2020
- CHI 2020“Like shock absorbers”: Understanding the human infrastructures of technology-mediated mental health supportIn Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, Apr 2020
- ICML 2020Alleviating Privacy Attacks via Causal LearningIn Proceedings of the 37th International Conference on Machine Learning, Apr 2020
- WACV 2020Evaluating and mitigating bias in image classifiers: A causal perspective using counterfactualsProc. IEEE Workshop Appl. Comput. Vis., Sep 2020
- COMPASS 2019Mental health in the global south: challenges and opportunities in HCI for developmentIn Proceedings of the 2nd ACM SIGCAS Conference on Computing and Sustainable Societies, Jul 2019
- COMPASS 2019Optimizing peer referrals for public awareness using contextual banditsIn Proceedings of the 2nd ACM SIGCAS Conference on Computing and Sustainable Societies, Jul 2019
- COMPASS 2019Learnings from deploying a voice-based social platform for people with disabilityIn Proceedings of the 2nd ACM SIGCAS Conference on Computing and Sustainable Societies, Jul 2019
- KDD 2019Learning to Prescribe Interventions for Tuberculosis Patients Using Digital Adherence DataIn Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, Jul 2019
- Nature Human Behav.Predicting historyNature Human Behaviour, Jun 2019
- Digital Innovations for Global Mental Health: Opportunities for Data Science, Task Sharing, and Early InterventionCurr Treat Options Psychiatry, Dec 2019
- CSCW 2019Learn2Earn: Using Mobile Airtime Incentives to Bolster Public Awareness CampaignsProc. ACM Hum.-Comput. Interact., Nov 2019
- CSCW 2019Cross-Cultural Differences in the Use of Online Mental Health Support ForumsProc. ACM Hum.-Comput. Interact., Nov 2019
- CHI 2019Moments of Change: Analyzing Peer-Based Cognitive Support in Online Mental Health ForumsIn Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, May 2019
- Annals Applied Stats.Split-door criterion: Identification of causal effects through auxiliary outcomesThe Annals of Applied Statistics, Dec 2018
- SciencePrediction and explanation in social systemsIn Science, Dec 2017
- Harvesting Randomness to Optimize Distributed SystemsIn Proceedings of the 16th ACM Workshop on Hot Topics in Networks, Nov 2017
- Distinguishing between personal preferences and social influence in online activity feedsIn Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing, Feb 2016
- Predictability of popularity: Gaps between prediction and understandingIn Proceedings of the International AAAI Conference on Web and Social Media, Feb 2016
- WWW 2016Exploring limits to prediction in complex social systems: Predicting cascade size on twitterIn Proceedings of the 25th International Conference on World Wide Web, Apr 2016
- WWW 2016Averaging Gone Wrong: Using Time-Aware Analyses to Better Understand BehaviorIn Proceedings of the 25th International Conference on World Wide Web, Apr 2016
- Studying and Modeling the Connection between People’s Preferences and Content SharingIn Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing, Feb 2015
- Estimating the Causal Impact of Recommendation Systems from Observational DataIn Proceedings of the Sixteenth ACM Conference on Economics and Computation, Jun 2015
- Friends, Strangers, and the Value of Ego Networks for RecommendationIn Proceedings of the 7th International Conference on Web and Social Media, Jun 2013
- Pairwise learning in recommendation: experiments with community recommendation on linkedinIn Proceedings of the 7th ACM conference on Recommender systems, Oct 2013
- WWW 2013Do social explanations work? studying and modeling the effects of social explanations in recommender systemsIn Proceedings of the 22nd international conference on World Wide Web, May 2013
- Algorithms for Generating Ordered Solutions for Explicit AND/OR StructuresJournal of Artificial Intelligence Research, Jun 2012
- ReComp: QoS-aware recursive service composition at minimum costIn 12th IFIP/IEEE International Symposium on Integrated Network Management (IM 2011) and Workshops, May 2011
- Workload management for power efficiency in virtualized data centersCommun. ACM, Jul 2011
- Network-Centric Recommendation: Personalization with and in Social NetworksIn 2011 IEEE Third International Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third International Conference on Social Computing, Oct 2011