default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDDavid T. Arbour
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
Journal Articles
- 2021
[j1]Ryan A. Rossi, Nesreen K. Ahmed
, Aldo G. Carranza, David Arbour, Anup B. Rao, Sungchul Kim, Eunyee Koh:
Heterogeneous Graphlets. ACM Trans. Knowl. Discov. Data 15(1): 9:1-9:43 (2021)
Conference and Workshop Papers
- 2024
- [c31]Shreyas Chaudhari, David Arbour, Georgios Theocharous, Nikos Vlassis:
Distributional Off-Policy Evaluation for Slate Recommendations. AAAI 2024: 8265-8273 - [c30]Puja Trivedi, Ryan A. Rossi, David Arbour, Tong Yu, Franck Dernoncourt, Sungchul Kim, Nedim Lipka, Namyong Park, Nesreen K. Ahmed, Danai Koutra:
Editing Partially Observable Networks via Graph Diffusion Models. ICML 2024 - [c29]Zhenghao Zeng, David Arbour, Avi Feller, Raghavendra Addanki, Ryan A. Rossi, Ritwik Sinha, Edward H. Kennedy:
Continuous Treatment Effects with Surrogate Outcomes. ICML 2024 - 2023
- [c28]Ragib Ahsan, David Arbour, Elena Zheleva:
Learning Relational Causal Models with Cycles through Relational Acyclification. AAAI 2023: 12164-12171 - [c27]Wei Zhang, David Arbour:
Online Forecasting Based Anomaly Detection For Monitoring Large Scale Streaming Data. IEEE Big Data 2023: 1998-2003 - [c26]Mehrdad Ghadiri, David Arbour, Tung Mai, Cameron Musco, Anup B. Rao:
Finite Population Regression Adjustment and Non-asymptotic Guarantees for Treatment Effect Estimation. NeurIPS 2023 - [c25]Aniket Murhekar, David Arbour, Tung Mai, Anup B. Rao:
Brief Announcement: Dynamic Vector Bin Packing for Online Resource Allocation in the Cloud. SPAA 2023: 307-310 - [c24]Akash Maharaj, Ritwik Sinha, David Arbour, Ian Waudby-Smith, Simon Z. Liu, Moumita Sinha, Raghavendra Addanki, Aaditya Ramdas, Manas Garg, Viswanathan Swaminathan:
Anytime-Valid Confidence Sequences in an Enterprise A/B Testing Platform. WWW (Companion Volume) 2023: 396-400 - 2022
- [c23]Tong Mu, Georgios Theocharous, David Arbour, Emma Brunskill:
Constraint Sampling Reinforcement Learning: Incorporating Expertise for Faster Learning. AAAI 2022: 7841-7849 - [c22]Ragib Ahsan, David Arbour, Elena Zheleva:
Relational Causal Models with Cycles: Representation and Reasoning. CLeaR 2022: 1-18 - [c21]David Arbour, Drew Dimmery, Tung Mai, Anup B. Rao:
Online Balanced Experimental Design. ICML 2022: 844-864 - [c20]Galen Weld, Peter West, Maria Glenski, David Arbour, Ryan A. Rossi, Tim Althoff:
Adjusting for Confounders with Text: Challenges and an Empirical Evaluation Framework for Causal Inference. ICWSM 2022: 1109-1120 - [c19]Raghavendra Addanki, David Arbour, Tung Mai, Cameron Musco, Anup Rao:
Sample Constrained Treatment Effect Estimation. NeurIPS 2022 - [c18]Vishwa Vinay, Manoj Kilaru, David Arbour:
Offline Evaluation of Ranked Lists using Parametric Estimation of Propensities. SIGIR 2022: 622-632 - [c17]Ragib Ahsan, Zahra Fatemi, David Arbour, Elena Zheleva:
Non-parametric inference of relational dependence. UAI 2022: 54-63 - [c16]Md. Mehrab Tanjim, Ritwik Sinha, Krishna Kumar Singh, Sridhar Mahadevan, David Arbour, Moumita Sinha, Garrison W. Cottrell:
Generating and Controlling Diversity in Image Search. WACV 2022: 3908-3916 - [c15]Akanksha Atrey, Ritwik Sinha, Somdeb Sarkhel, Saayan Mitra, David Arbour, Akash Maharaj, Prashant J. Shenoy:
Towards Preserving Server-Side Privacy of On-Device Models. WWW (Companion Volume) 2022: 282-285 - 2021
- [c14]My Phan, David Arbour, Drew Dimmery, Anup B. Rao:
Designing Transportable Experiments Under S-admissability. AISTATS 2021: 2539-2547 - [c13]David Arbour, Drew Dimmery, Anup B. Rao:
Efficient Balanced Treatment Assignments for Experimentation. AISTATS 2021: 3070-3078 - [c12]David Arbour, Drew Dimmery, Arjun Sondhi:
Permutation Weighting. ICML 2021: 331-341 - [c11]Trisha Mittal, Vishy Swaminathan, Somdeb Sarkhel, Ritwik Sinha, David Arbour, Saayan Mitra, Dinesh Manocha:
BOhance: Bayesian Optimization for Content Enhancement. ISM 2021: 17-24 - [c10]Elena Zheleva, David Arbour:
Causal Inference from Network Data. KDD 2021: 4096-4097 - 2020
- [c9]Arjun Sondhi, David Arbour, Drew Dimmery:
Balanced Off-Policy Evaluation in General Action Spaces. AISTATS 2020: 2413-2423 - [c8]Eli Sherman, David Arbour, Ilya Shpitser:
General Identification of Dynamic Treatment Regimes Under Interference. AISTATS 2020: 3917-3927 - [c7]Ritwik Sinha, Shiv Kumar Saini, Moumita Sinha, David Arbour:
Bayesian Estimation of the Effect of Television Advertising on Web Metrics. DSAA 2020: 777-778 - 2016
- [c6]David T. Arbour, Dan Garant, David D. Jensen:
Inferring Network Effects from Observational Data. KDD 2016: 715-724 - [c5]David T. Arbour, Katerina Marazopoulou, David D. Jensen:
Inferring Causal Direction from Relational Data. UAI 2016 - 2014
- [c4]David T. Arbour, Katerina Marazopoulou, Dan Garant, David D. Jensen:
Propensity Score Matching for Causal Inference with Relational Data. CI@UAI 2014: 25-34 - 2013
- [c3]Marc E. Maier, Katerina Marazopoulou, David T. Arbour, David D. Jensen:
A Sound and Complete Algorithm for Learning Causal Models from Relational Data. UAI 2013 - 2010
- [c2]Paul E. Dickson, David T. Arbour, W. Richards Adrion, Amanda Gentzel:
Evaluation of automatic classroom capture for computer science education. ITiCSE 2010: 88-92 - 2009
- [c1]Paul E. Dickson, W. Richards Adrion, Allen R. Hanson, David T. Arbour:
First experiences with a classroom recording system. ITiCSE 2009: 298-302
Informal and Other Publications
- 2024
- [i18]Zhenghao Zeng, David Arbour, Avi Feller, Raghavendra Addanki, Ryan A. Rossi, Ritwik Sinha, Edward H. Kennedy:
Continuous Treatment Effects with Surrogate Outcomes. CoRR abs/2402.00168 (2024) - 2023
- [i17]Aniket Murhekar, David Arbour, Tung Mai, Anup Rao:
Dynamic Vector Bin Packing for Online Resource Allocation in the Cloud. CoRR abs/2304.08648 (2023) - [i16]Shreyas Chaudhari, David Arbour, Georgios Theocharous, Nikos Vlassis:
Distributional Off-Policy Evaluation for Slate Recommendations. CoRR abs/2308.14165 (2023) - [i15]Puja Trivedi, Ryan A. Rossi, David Arbour, Tong Yu, Franck Dernoncourt, Sungchul Kim, Nedim Lipka, Namyong Park, Nesreen K. Ahmed, Danai Koutra:
Leveraging Graph Diffusion Models for Network Refinement Tasks. CoRR abs/2311.17856 (2023) - 2022
- [i14]Ragib Ahsan, David Arbour, Elena Zheleva:
Relational Causal Models with Cycles: Representation and Reasoning. CoRR abs/2202.10706 (2022) - [i13]Jaron J. R. Lee, David Arbour, Georgios Theocharous:
Off-Policy Evaluation in Embedded Spaces. CoRR abs/2203.02807 (2022) - [i12]Vishwa Vinay, Manoj Kilaru, David Arbour:
Offline Evaluation of Ranked Lists using Parametric Estimation of Propensities. CoRR abs/2206.02470 (2022) - [i11]Ragib Ahsan, Zahra Fatemi, David Arbour, Elena Zheleva:
Non-Parametric Inference of Relational Dependence. CoRR abs/2207.00163 (2022) - [i10]Ragib Ahsan, David Arbour, Elena Zheleva:
Learning Relational Causal Models with Cycles through Relational Acyclification. CoRR abs/2208.12210 (2022) - [i9]Raghavendra Addanki, David Arbour, Tung Mai, Cameron Musco, Anup Rao:
Sample Constrained Treatment Effect Estimation. CoRR abs/2210.06594 (2022) - 2021
- [i8]Tong Mu, Georgios Theocharous, David Arbour, Emma Brunskill:
Constraint Sampling Reinforcement Learning: Incorporating Expertise For Faster Learning. CoRR abs/2112.15221 (2021) - 2020
- [i7]Eli Sherman, David Arbour, Ilya Shpitser:
General Identification of Dynamic Treatment Regimes Under Interference. CoRR abs/2004.01218 (2020) - [i6]Galen Weld, Peter West, Maria Glenski, David Arbour, Ryan A. Rossi, Tim Althoff:
Adjusting for Confounders with Text: Challenges and an Empirical Evaluation Framework for Causal Inference. CoRR abs/2009.09961 (2020) - [i5]Ryan A. Rossi, Nesreen K. Ahmed, Aldo G. Carranza, David Arbour, Anup B. Rao, Sungchul Kim, Eunyee Koh:
Heterogeneous Graphlets. CoRR abs/2010.14058 (2020) - 2019
- [i4]Ryan A. Rossi, Nesreen K. Ahmed, Aldo G. Carranza, David Arbour, Anup Rao, Sungchul Kim, Eunyee Koh:
Heterogeneous Network Motifs. CoRR abs/1901.10026 (2019) - [i3]Arjun Sondhi, David Arbour, Drew Dimmery:
Balanced Off-Policy Evaluation in General Action Spaces. CoRR abs/1906.03694 (2019) - 2014
- [i2]Katerina Marazopoulou, David T. Arbour, David D. Jensen:
Refining the Semantics of Social Influence. CoRR abs/1412.5238 (2014) - 2013
- [i1]Marc E. Maier, Katerina Marazopoulou, David T. Arbour, David D. Jensen:
A Sound and Complete Algorithm for Learning Causal Models from Relational Data. CoRR abs/1309.6843 (2013)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-09-04 01:21 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
