default search action
Phebe Vayanos
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [c34]Zhuangzhuang Jia, Grani A. Hanasusanto, Phebe Vayanos, Weijun Xie:
Learning Fair Policies for Multi-Stage Selection Problems from Observational Data. AAAI 2024: 21188-21196 - 2023
- [c33]Nathanael Jo, Bill Tang, Kathryn Dullerud, Sina Aghaei, Eric Rice, Phebe Vayanos:
Fairness in Contextual Resource Allocation Systems: Metrics and Incompatibility Results. AAAI 2023: 11837-11846 - [c32]Nathanael Jo
, Sina Aghaei
Learning Optimal Fair Decision Trees: Trade-offs Between Interpretability, Fairness, and Accuracy. AIES 2023: 181-192 - [c31]Caroline M. Johnston
Deploying a Robust Active Preference Elicitation Algorithm on MTurk: Experiment Design, Interface, and Evaluation for COVID-19 Patient Prioritization. EAAMO 2023: 31:1-31:10 - [i16]Caroline M. Johnston, Patrick Vossler, Simon Blessenohl, Phebe Vayanos:
Deploying a Robust Active Preference Elicitation Algorithm: Experiment Design, Interface, and Evaluation for COVID-19 Patient Prioritization. CoRR abs/2306.04061 (2023) - [i15]Patrick Vossler, Sina Aghaei, Nathan Justin, Nathanael Jo, Andrés Gómez, Phebe Vayanos:
ODTlearn: A Package for Learning Optimal Decision Trees for Prediction and Prescription. CoRR abs/2307.15691 (2023) - [i14]Nathan Justin, Sina Aghaei, Andrés Gómez, Phebe Vayanos:
Learning Optimal Classification Trees Robust to Distribution Shifts. CoRR abs/2310.17772 (2023) - [i13]Bill Tang, Çagil Koçyigit, Eric Rice, Phebe Vayanos:
Learning Optimal and Fair Policies for Online Allocation of Scarce Societal Resources from Data Collected in Deployment. CoRR abs/2311.13765 (2023) - [i12]Zhuangzhuang Jia, Grani A. Hanasusanto, Phebe Vayanos, Weijun Xie:
Learning Fair Policies for Multi-stage Selection Problems from Observational Data. CoRR abs/2312.13173 (2023) - 2022
- [j6]Phebe Vayanos, Qing Jin
ROC++: Robust Optimization in C++. INFORMS J. Comput. 34(6): 2873-2888 (2022) - [c30]Aida Rahmattalabi, Phebe Vayanos, Kathryn Dullerud, Eric Rice:
Learning Resource Allocation Policies from Observational Data with an Application to Homeless Services Delivery. FAccT 2022: 1240-1256 - [i11]Nathanael Jo, Sina Aghaei, Jack Benson, Andrés Gómez, Phebe Vayanos:
Learning Optimal Fair Classification Trees. CoRR abs/2201.09932 (2022) - [i10]Aida Rahmattalabi, Phebe Vayanos, Kathryn Dullerud, Eric Rice:
Learning Resource Allocation Policies from Observational Data with an Application to Homeless Services Delivery. CoRR abs/2201.10053 (2022) - [i9]Nathanael Jo, Bill Tang, Kathryn Dullerud, Sina Aghaei, Eric Rice, Phebe Vayanos:
Fairness in Contextual Resource Allocation Systems: Metrics and Incompatibility Results. CoRR abs/2212.01725 (2022) - 2021
- [c29]Aida Rahmattalabi, Shahin Jabbari, Himabindu Lakkaraju, Phebe Vayanos, Max Izenberg, Ryan Brown, Eric Rice, Milind Tambe:
Fair Influence Maximization: a Welfare Optimization Approach. AAAI 2021: 11630-11638 - [i8]Sina Aghaei, Andrés Gómez, Phebe Vayanos:
Strong Optimal Classification Trees. CoRR abs/2103.15965 (2021) - [i7]Nathanael Jo, Sina Aghaei, Andrés Gómez, Phebe Vayanos:
Learning Optimal Prescriptive Trees from Observational Data. CoRR abs/2108.13628 (2021) - 2020
- [c28]Omkar Thakoor, Shahin Jabbari, Palvi Aggarwal
Exploiting Bounded Rationality in Risk-Based Cyber Camouflage Games. GameSec 2020: 103-124 - [p1]Aaron Schlenker, Omkar Thakoor, Haifeng Xu, Fei Fang
Game Theoretic Cyber Deception to Foil Adversarial Network Reconnaissance. Adaptive Autonomous Secure Cyber Systems 2020: 183-204 - [i6]Sina Aghaei, Andrés Gómez
Learning Optimal Classification Trees: Strong Max-Flow Formulations. CoRR abs/2002.09142 (2020) - [i5]Phebe Vayanos, Duncan C. McElfresh, Yingxiao Ye, John Paul Dickerson, Eric Rice:
Active Preference Elicitation via Adjustable Robust Optimization. CoRR abs/2003.01899 (2020) - [i4]Aida Rahmattalabi, Phebe Vayanos, Anthony Fulginiti, Eric Rice, Bryan Wilder, Amulya Yadav, Milind Tambe:
Exploring Algorithmic Fairness in Robust Graph Covering Problems. CoRR abs/2006.06865 (2020) - [i3]Aida Rahmattalabi, Shahin Jabbari, Himabindu Lakkaraju, Phebe Vayanos, Eric Rice, Milind Tambe:
Fair Influence Maximization: A Welfare Optimization Approach. CoRR abs/2006.07906 (2020)
2010 – 2019
- 2019
- [j5]Chaithanya Bandi
Robust Multiclass Queuing Theory for Wait Time Estimation in Resource Allocation Systems. Manag. Sci. 65(1): 152-187 (2019) - [j4]Naveena Karusala
Street-Level Realities of Data Practices in Homeless Services Provision. Proc. ACM Hum. Comput. Interact. 3(CSCW): 184:1-184:23 (2019) - [c27]Sina Aghaei, Mohammad Javad Azizi, Phebe Vayanos:
Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making. AAAI 2019: 1418-1426 - [c26]Sarah Cooney, Phebe Vayanos, Thanh Hong Nguyen, Cleotilde Gonzalez, Christian Lebiere, Edward A. Cranford, Milind Tambe:
Warning Time: Optimizing Strategic Signaling for Security Against Boundedly Rational Adversaries. AAMAS 2019: 1892-1894 - [c25]Aida Rahmattalabi, Phebe Vayanos, Anthony Fulginiti, Milind Tambe:
Robust Peer-Monitoring on Graphs with an Application to Suicide Prevention in Social Networks. AAMAS 2019: 2168-2170 - [c24]Omkar Thakoor, Milind Tambe, Phebe Vayanos, Haifeng Xu, Christopher Kiekintveld:
General-Sum Cyber Deception Games under Partial Attacker Valuation Information. AAMAS 2019: 2215-2217 - [c23]Omkar Thakoor, Milind Tambe, Phebe Vayanos, Haifeng Xu, Christopher Kiekintveld, Fei Fang
Cyber Camouflage Games for Strategic Deception. GameSec 2019: 525-541 - [c22]Aida Rahmattalabi, Phebe Vayanos, Anthony Fulginiti, Eric Rice, Bryan Wilder, Amulya Yadav, Milind Tambe:
Exploring Algorithmic Fairness in Robust Graph Covering Problems. NeurIPS 2019: 15750-15761 - [c21]Sarah Cooney, Kai Wang, Elizabeth Bondi, Thanh Hong Nguyen, Phebe Vayanos, Hailey Winetrobe, Edward A. Cranford
Learning to Signal in the Goldilocks Zone: Improving Adversary Compliance in Security Games. ECML/PKDD (1) 2019: 725-740 - [i2]Aida Rahmattalabi, Anamika Barman-Adhikari, Phebe Vayanos, Milind Tambe, Eric Rice, Robin Baker:
Social Network Based Substance Abuse Prevention via Network Modification (A Preliminary Study). CoRR abs/1902.00171 (2019) - [i1]Sina Aghaei, Mohammad Javad Azizi, Phebe Vayanos:
Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making. CoRR abs/1903.10598 (2019) - 2018
- [c20]Haifeng Xu, Kai Wang, Phebe Vayanos, Milind Tambe:
Strategic Coordination of Human Patrollers and Mobile Sensors With Signaling for Security Games. AAAI 2018: 1290-1297 - [c19]Aida Rahmattalabi, Anamika Barman-Adhikari, Phebe Vayanos, Milind Tambe, Eric Rice, Robin Baker:
Influence Maximization for Social Network Based Substance Abuse Prevention. AAAI 2018: 8139-8140 - [c18]Hau Chan, Long Tran-Thanh, Bryan Wilder, Eric Rice, Phebe Vayanos, Milind Tambe:
Utilizing Housing Resources for Homeless Youth Through the Lens of Multiple Multi-Dimensional Knapsacks. AIES 2018: 41-47 - [c17]Sungyong Seo, Hau Chan, P. Jeffrey Brantingham, Jorja Leap, Phebe Vayanos, Milind Tambe, Yan Liu:
Partially Generative Neural Networks for Gang Crime Classification with Partial Information. AIES 2018: 257-263 - [c16]Aaron Schlenker, Omkar Thakoor, Haifeng Xu, Fei Fang, Milind Tambe, Long Tran-Thanh, Phebe Vayanos, Yevgeniy Vorobeychik:
Deceiving Cyber Adversaries: A Game Theoretic Approach. AAMAS 2018: 892-900 - [c15]Kai Wang, Qingyu Guo, Phebe Vayanos, Milind Tambe, Bo An:
Equilibrium Refinement in Security Games with Arbitrary Scheduling Constraints. AAMAS 2018: 919-927 - [c14]Edward A. Cranford, Christian Lebiere, Cleotilde Gonzalez, Sarah Cooney, Phebe Vayanos, Milind Tambe:
Learning about Cyber Deception through Simulations: Predictions of Human Decision Making with Deceptive Signals in Stackelberg Security Games. CogSci 2018 - [c13]Mohammad Javad Azizi, Phebe Vayanos, Bryan Wilder, Eric Rice, Milind Tambe:
Designing Fair, Efficient, and Interpretable Policies for Prioritizing Homeless Youth for Housing Resources. CPAIOR 2018: 35-51 - [c12]Han-Ching Ou, Milind Tambe, Bistra Dilkina
Imbalanced Collusive Security Games. GameSec 2018: 583-602 - [c11]Aida Rahmattalabi, Phebe Vayanos, Milind Tambe:
A Robust Optimization Approach to Designing Near-Optimal Strategies for Constant-Sum Monitoring Games. GameSec 2018: 603-622 - [c10]Sara Marie McCarthy, Corine M. Laan, Kai Wang, Phebe Vayanos
The Price of Usability: Designing Operationalizable Strategies for Security Games. IJCAI 2018: 454-460 - [c9]Hau Chan, Eric Rice, Phebe Vayanos, Milind Tambe, Matthew Morton:
From Empirical Analysis to Public Policy: Evaluating Housing Systems for Homeless Youth. ECML/PKDD (3) 2018: 69-85 - 2017
- [c8]Hau Chan, Eric Rice, Phebe Vayanos, Milind Tambe, Matthew Morton:
Evidence From the Past: AI Decision Aids to Improve Housing Systems for Homeless Youth. AAAI Fall Symposia 2017: 149-157 - [c7]Amulya Yadav, Aida Rahmattalabi, Ece Kamar, Phebe Vayanos, Milind Tambe, Venil Loyd Noronha:
Explanation Systems for Influence Maximization Algorithms. SocInf@IJCAI 2017: 8-19 - [c6]Sara Marie McCarthy, Phebe Vayanos
Staying Ahead of the Game: Adaptive Robust Optimization for Dynamic Allocation of Threat Screening Resources. IJCAI 2017: 3770-3776 - 2013
- [b1]Phebe Vayanos:
Decision rule approximations for dynamic optimization under uncertainty. Imperial College London, UK, 2013 - 2012
- [j3]Phebe Vayanos, Daniel Kuhn, Berç Rustem:
A constraint sampling approach for multi-stage robust optimization. Autom. 48(3): 459-471 (2012) - 2011
- [c5]Phebe Vayanos, Daniel Kuhn, Berç Rustem:
Decision rules for information discovery in multi-stage stochastic programming. CDC/ECC 2011: 7368-7373 - 2010
- [j2]Beth Jelfs
Characterisation of Signal Modality: Exploiting Signal Nonlinearity in Machine Learning and Signal Processing. J. Signal Process. Syst. 61(1): 105-115 (2010)
2000 – 2009
- 2008
- [j1]Danilo P. Mandic, Phebe Vayanos, Mo Chen, Su Lee Goh:
Online Detection of the Modality of Complex-Valued Real World Signals. Int. J. Neural Syst. 18(2): 67-74 (2008) - [c4]Danilo P. Mandic, Phebe Vayanos, Soroush Javidi, Beth Jelfs
Online tracking of the degree of nonlinearity within complex signals. ICASSP 2008: 2061-2064 - 2007
- [c3]Danilo P. Mandic, Phebe Vayanos, Christos Boukis, Beth Jelfs
Collaborative Adaptive Learning using Hybrid Filters. ICASSP (3) 2007: 921-924 - [c2]Phebe Vayanos, Mo Chen, Beth Jelfs
Exploiting Nonlinearity in Adaptive Signal Processing. NOLISP 2007: 57-77 - 2006
- [c1]Beth Jelfs
An Online Method for Detecting Nonlinearity Within a Signal. KES (3) 2006: 1216-1223
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 2024-10-07 21:22 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: