David Arbour
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
25
Venues
14
Active years
2020–2025
Best venue rank
A*
Where they publish
Papers
25 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AAAI | Evaluation and Incident Prevention in an Enterprise AI Assistant. | Akash V. Maharaj, David Arbour, Daniel Lee, Uttaran Bhattacharya, Anup B. Rao, Austin Zane, Avi Feller, Kun Qian, Yunyao Li |
| 2025 | ACL | Principled Content Selection to Generate Diverse and Personalized Multi-Document Summaries. | Vishakh Padmakumar, Zichao Wang, David Arbour, Jennifer Healey |
| 2025 | EMNLP | Image Difference Captioning via Adversarial Preference Optimization. | Zihan Huang, Junda Wu, Rohan Surana, Tong Yu, David Arbour, Ritwik Sinha, Julian J. McAuley |
| 2025 | UAI | Relational Causal Discovery with Latent Confounders. | Matteo Negro, Andrea Piras, Ragib Ahsan, David Arbour, Elena Zheleva |
| 2024 | AAAI | Distributional Off-Policy Evaluation for Slate Recommendations. | Shreyas Chaudhari, David Arbour, Georgios Theocharous, Nikos Vlassis |
| 2024 | ICML | Editing Partially Observable Networks via Graph Diffusion Models. | Puja Trivedi, Ryan A. Rossi, David Arbour, Tong Yu, Franck Dernoncourt, Sungchul Kim, Nedim Lipka, Namyong Park, Nesreen K. Ahmed, Danai Koutra |
| 2024 | ICML | Continuous Treatment Effects with Surrogate Outcomes. | Zhenghao Zeng, David Arbour, Avi Feller, Raghavendra Addanki, Ryan A. Rossi, Ritwik Sinha, Edward H. Kennedy |
| 2023 | AAAI | Learning Relational Causal Models with Cycles through Relational Acyclification. | Ragib Ahsan, David Arbour, Elena Zheleva |
| 2023 | WWW | 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 |
| 2023 | SPAA | Brief Announcement: Dynamic Vector Bin Packing for Online Resource Allocation in the Cloud. | Aniket Murhekar, David Arbour, Tung Mai, Anup B. Rao |
| 2022 | AAAI | Constraint Sampling Reinforcement Learning: Incorporating Expertise for Faster Learning. | Tong Mu, Georgios Theocharous, David Arbour, Emma Brunskill |
| 2022 | ICML | Online Balanced Experimental Design. | David Arbour, Drew Dimmery, Tung Mai, Anup B. Rao |
| 2022 | ICWSM | Adjusting for Confounders with Text: Challenges and an Empirical Evaluation Framework for Causal Inference. | Galen Weld, Peter West, Maria Glenski, David Arbour, Ryan A. Rossi, Tim Althoff |
| 2022 | WWW | Towards Preserving Server-Side Privacy of On-Device Models. | Akanksha Atrey, Ritwik Sinha, Somdeb Sarkhel, Saayan Mitra, David Arbour, Akash Maharaj, Prashant J. Shenoy |
| 2022 | SIGIR | Offline Evaluation of Ranked Lists using Parametric Estimation of Propensities. | Vishwa Vinay, Manoj Kilaru, David Arbour |
| 2022 | WACV | Generating and Controlling Diversity in Image Search. | Md. Mehrab Tanjim, Ritwik Sinha, Krishna Kumar Singh, Sridhar Mahadevan, David Arbour, Moumita Sinha, Garrison W. Cottrell |
| 2022 | UAI | Non-parametric inference of relational dependence. | Ragib Ahsan, Zahra Fatemi, David Arbour, Elena Zheleva |
| 2021 | AISTATS | Efficient Balanced Treatment Assignments for Experimentation. | David Arbour, Drew Dimmery, Anup B. Rao |
| 2021 | AISTATS | Designing Transportable Experiments Under S-admissability. | My Phan, David Arbour, Drew Dimmery, Anup B. Rao |
| 2021 | ICML | Permutation Weighting. | David Arbour, Drew Dimmery, Arjun Sondhi |
| 2021 | ISM | BOhance: Bayesian Optimization for Content Enhancement. | Trisha Mittal, Vishy Swaminathan, Somdeb Sarkhel, Ritwik Sinha, David Arbour, Saayan Mitra, Dinesh Manocha |
| 2021 | KDD | Causal Inference from Network Data. | Elena Zheleva, David Arbour |
| 2020 | AISTATS | General Identification of Dynamic Treatment Regimes Under Interference. | Eli Sherman, David Arbour, Ilya Shpitser |
| 2020 | AISTATS | Balanced Off-Policy Evaluation in General Action Spaces. | Arjun Sondhi, David Arbour, Drew Dimmery |
| 2020 | DSAA | Bayesian Estimation of the Effect of Television Advertising on Web Metrics. | Ritwik Sinha, Shiv Kumar Saini, Moumita Sinha, David Arbour |