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ORCIDL. Elisa Celis
Laura Elisa Celis
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2020 – today
- 2024
[c47]Vijay Keswani, L. Elisa Celis:
Algorithmic Fairness From the Perspective of Legal Anti-discrimination Principles. AIES (1) 2024: 724-737- [c46]L. Elisa Celis, Amit Kumar, Nisheeth K. Vishnoi, Andrew Xu:
Centralized Selection with Preferences in the Presence of Biases. ICML 2024 - [c45]Vijay Keswani, Anay Mehrotra, L. Elisa Celis:
Fair Classification with Partial Feedback: An Exploration-Based Data Collection Approach. ICML 2024 - [i38]Vijay Keswani, Anay Mehrotra, L. Elisa Celis:
Fair Classification with Partial Feedback: An Exploration-Based Data-Collection Approach. CoRR abs/2402.11338 (2024) - [i37]L. Elisa Celis, Amit Kumar, Nisheeth K. Vishnoi, Andrew Xu:
Centralized Selection with Preferences in the Presence of Biases. CoRR abs/2409.04897 (2024) - 2023
- [c44]Vijay Keswani
, L. Elisa Celis:
Addressing Strategic Manipulation Disparities in Fair Classification. EAAMO 2023: 30:1-30:11 - [c43]Vijay Keswani, L. Elisa Celis, Krishnaram Kenthapadi, Matthew Lease:
Designing Closed-Loop Models for Task Allocation. HHAI 2023: 17-32 - [c42]Niclas Boehmer, L. Elisa Celis, Lingxiao Huang, Anay Mehrotra, Nisheeth K. Vishnoi:
Subset Selection Based On Multiple Rankings in the Presence of Bias: Effectiveness of Fairness Constraints for Multiwinner Voting Score Functions. ICML 2023: 2641-2688 - [c41]L. Elisa Celis, Amit Kumar, Anay Mehrotra, Nisheeth K. Vishnoi:
Bias in Evaluation Processes: An Optimization-Based Model. NeurIPS 2023 - [i36]Vijay Keswani, L. Elisa Celis, Krishnaram Kenthapadi, Matthew Lease:
Designing Closed-Loop Models for Task Allocation. CoRR abs/2305.19864 (2023) - [i35]Niclas Boehmer, L. Elisa Celis, Lingxiao Huang, Anay Mehrotra, Nisheeth K. Vishnoi:
Subset Selection Based On Multiple Rankings in the Presence of Bias: Effectiveness of Fairness Constraints for Multiwinner Voting Score Functions. CoRR abs/2306.09835 (2023) - [i34]L. Elisa Celis, Amit Kumar, Anay Mehrotra, Nisheeth K. Vishnoi:
Bias in Evaluation Processes: An Optimization-Based Model. CoRR abs/2310.17489 (2023) - 2022
- [j9]Anay Mehrotra, Jeff Sachs, L. Elisa Celis:
Revisiting Group Fairness Metrics: The Effect of Networks. Proc. ACM Hum. Comput. Interact. 6(CSCW2): 1-29 (2022) - [c40]Florian Evéquoz, Johan Rochel, Vijay Keswani, L. Elisa Celis:
Diverse Representation via Computational Participatory Elections - Lessons from a Case Study. EAAMO 2022: 12:1-12:11 - [e3]L. Elisa Celis:
3rd Symposium on Foundations of Responsible Computing, FORC 2022, June 6-8, 2022, Cambridge, MA, USA. LIPIcs 218, Schloss Dagstuhl - Leibniz-Zentrum für Informatik 2022, ISBN 978-3-95977-226-6 [contents] - [i33]Vijay Keswani, L. Elisa Celis:
Addressing Strategic Manipulation Disparities in Fair Classification. CoRR abs/2205.10842 (2022) - [i32]Florian Evéquoz, Johan Rochel, Vijay Keswani, L. Elisa Celis:
Diverse Representation via Computational Participatory Elections - Lessons from a Case Study. CoRR abs/2205.15394 (2022) - 2021
- [c39]Anay Mehrotra, L. Elisa Celis:
Mitigating Bias in Set Selection with Noisy Protected Attributes. FAccT 2021: 237-248 - [c38]L. Elisa Celis, Chris Hays, Anay Mehrotra, Nisheeth K. Vishnoi:
The Effect of the Rooney Rule on Implicit Bias in the Long Term. FAccT 2021: 678-689 - [c37]L. Elisa Celis, Lingxiao Huang, Vijay Keswani, Nisheeth K. Vishnoi:
Fair Classification with Noisy Protected Attributes: A Framework with Provable Guarantees. ICML 2021: 1349-1361 - [c36]Vijay Keswani, L. Elisa Celis:
Auditing for Diversity Using Representative Examples. KDD 2021: 860-870 - [c35]L. Elisa Celis, Anay Mehrotra, Nisheeth K. Vishnoi:
Fair Classification with Adversarial Perturbations. NeurIPS 2021: 8158-8171 - [c34]Vijay Keswani, L. Elisa Celis:
Dialect Diversity in Text Summarization on Twitter. WWW 2021: 3802-3814 - [i31]L. Elisa Celis, Anay Mehrotra, Nisheeth K. Vishnoi:
Fair Classification with Adversarial Perturbations. CoRR abs/2106.05964 (2021) - [i30]Vijay Keswani, L. Elisa Celis:
Auditing for Diversity using Representative Examples. CoRR abs/2107.07393 (2021) - 2020
- [j8]L. Elisa Celis, Vijay Keswani:
Implicit Diversity in Image Summarization. Proc. ACM Hum. Comput. Interact. 4(CSCW2): 139:1-139:28 (2020) - [c33]Lingxiao Huang, Julia Wei, L. Elisa Celis:
Towards Just, Fair and Interpretable Methods for Judicial Subset Selection. AIES 2020: 293-299 - [c32]L. Elisa Celis, Anay Mehrotra, Nisheeth K. Vishnoi:
Interventions for ranking in the presence of implicit bias. FAT* 2020: 369-380 - [c31]L. Elisa Celis, Vijay Keswani, Nisheeth K. Vishnoi:
Data preprocessing to mitigate bias: A maximum entropy based approach. ICML 2020: 1349-1359 - [e2]Mireille Hildebrandt, Carlos Castillo, L. Elisa Celis, Salvatore Ruggieri, Linnet Taylor, Gabriela Zanfir-Fortuna:
FAT* '20: Conference on Fairness, Accountability, and Transparency, Barcelona, Spain, January 27-30, 2020. ACM 2020, ISBN 978-1-4503-6936-7 [contents] - [i29]L. Elisa Celis, Anay Mehrotra, Nisheeth K. Vishnoi:
Interventions for Ranking in the Presence of Implicit Bias. CoRR abs/2001.08767 (2020) - [i28]L. Elisa Celis, Lingxiao Huang, Nisheeth K. Vishnoi:
Fair Classification with Noisy Protected Attributes. CoRR abs/2006.04778 (2020) - [i27]L. Elisa Celis, Vijay Keswani:
Dialect Diversity in Text Summarization on Twitter. CoRR abs/2007.07860 (2020) - [i26]L. Elisa Celis, Chris Hays, Anay Mehrotra, Nisheeth K. Vishnoi:
The Effect of the Rooney Rule on Implicit Bias in the Long Term. CoRR abs/2010.10992 (2020) - [i25]Anay Mehrotra, L. Elisa Celis:
Mitigating Bias in Set Selection with Noisy Protected Attributes. CoRR abs/2011.04219 (2020)
2010 – 2019
- 2019
- [j7]L. Elisa Celis, Sayash Kapoor, Farnood Salehi, Vijay Keswani, Nisheeth K. Vishnoi:
A dashboard for controlling polarization in personalization. AI Commun. 32(1): 77-89 (2019) - [j6]Brunella Spinelli, L. Elisa Celis, Patrick Thiran:
A General Framework for Sensor Placement in Source Localization. IEEE Trans. Netw. Sci. Eng. 6(2): 86-102 (2019) - [c30]L. Elisa Celis, Sayash Kapoor, Farnood Salehi, Nisheeth K. Vishnoi:
Controlling Polarization in Personalization: An Algorithmic Framework. FAT 2019: 160-169 - [c29]L. Elisa Celis, Lingxiao Huang, Vijay Keswani, Nisheeth K. Vishnoi:
Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees. FAT 2019: 319-328 - [c28]L. Elisa Celis, Anay Mehrotra, Nisheeth K. Vishnoi:
Toward Controlling Discrimination in Online Ad Auctions. ICML 2019: 4456-4465 - [c27]Xavier Alameda-Pineda, Miriam Redi, L. Elisa Celis, Nicu Sebe, Shih-Fu Chang:
FAT/MM'19: 1st International Workshop on Fairness, Accountability, and Transparency in MultiMedia. ACM Multimedia 2019: 2728-2729 - [c26]Yi Chern Tan, L. Elisa Celis:
Assessing Social and Intersectional Biases in Contextualized Word Representations. NeurIPS 2019: 13209-13220 - [i24]L. Elisa Celis, Vijay Keswani:
Implicit Diversity in Image Summarization. CoRR abs/1901.10265 (2019) - [i23]L. Elisa Celis, Vijay Keswani:
Improved Adversarial Learning for Fair Classification. CoRR abs/1901.10443 (2019) - [i22]L. Elisa Celis, Anay Mehrotra, Nisheeth K. Vishnoi:
Fair Online Advertising. CoRR abs/1901.10450 (2019) - [i21]L. Elisa Celis, Vijay Keswani, Ozan Yildiz, Nisheeth K. Vishnoi:
Fair Distributions from Biased Samples: A Maximum Entropy Optimization Framework. CoRR abs/1906.02164 (2019) - [i20]Yi Chern Tan, L. Elisa Celis:
Assessing Social and Intersectional Biases in Contextualized Word Representations. CoRR abs/1911.01485 (2019) - 2018
- [c25]Brunella Spinelli, L. Elisa Celis, Patrick Thiran:
How Many Sensors to Localize the Source? The Double Metric Dimension of Random Networks. Allerton 2018: 1036-1043 - [c24]L. Elisa Celis, Damian Straszak, Nisheeth K. Vishnoi:
Ranking with Fairness Constraints. ICALP 2018: 28:1-28:15 - [c23]L. Elisa Celis, Vijay Keswani, Damian Straszak, Amit Deshpande, Tarun Kathuria, Nisheeth K. Vishnoi:
Fair and Diverse DPP-Based Data Summarization. ICML 2018: 715-724 - [c22]L. Elisa Celis, Lingxiao Huang, Nisheeth K. Vishnoi:
Multiwinner Voting with Fairness Constraints. IJCAI 2018: 144-151 - [c21]Sayash Kapoor, Vijay Keswani, Nisheeth K. Vishnoi, L. Elisa Celis:
Balanced News Using Constrained Bandit-based Personalization. IJCAI 2018: 5835-5837 - [c20]Farnood Salehi, Patrick Thiran, L. Elisa Celis:
Coordinate Descent with Bandit Sampling. NeurIPS 2018: 9267-9277 - [i19]L. Elisa Celis, Vijay Keswani, Damian Straszak, Amit Deshpande, Tarun Kathuria, Nisheeth K. Vishnoi:
Fair and Diverse DPP-based Data Summarization. CoRR abs/1802.04023 (2018) - [i18]L. Elisa Celis, Sayash Kapoor, Farnood Salehi, Nisheeth K. Vishnoi:
An Algorithmic Framework to Control Bias in Bandit-based Personalization. CoRR abs/1802.08674 (2018) - [i17]L. Elisa Celis, Lingxiao Huang, Vijay Keswani, Nisheeth K. Vishnoi:
Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees. CoRR abs/1806.06055 (2018) - [i16]Sayash Kapoor, Vijay Keswani, Nisheeth K. Vishnoi, L. Elisa Celis:
Balanced News Using Constrained Bandit-based Personalization. CoRR abs/1806.09202 (2018) - 2017
- [j5]Brunella Spinelli, L. Elisa Celis, Patrick Thiran:
The effect of transmission variance on observer placement for source-localization. Appl. Netw. Sci. 2: 20 (2017) - [c19]L. Elisa Celis, Amit Deshpande, Tarun Kathuria, Damian Straszak, Nisheeth K. Vishnoi:
On the Complexity of Constrained Determinantal Point Processes. APPROX-RANDOM 2017: 36:1-36:22 - [c18]Pedram Pad, Farnood Salehi, L. Elisa Celis, Patrick Thiran, Michael Unser:
Dictionary Learning Based on Sparse Distribution Tomography. ICML 2017: 2731-2740 - [c17]L. Elisa Celis, Peter M. Krafft, Nisheeth K. Vishnoi:
A Distributed Learning Dynamics in Social Groups. PODC 2017: 441-450 - [c16]L. Elisa Celis, Mina Dalirrooyfard, Nisheeth K. Vishnoi:
A Dynamics for Advertising on Networks. WINE 2017: 88-102 - [c15]Brunella Spinelli, L. Elisa Celis, Patrick Thiran:
Back To The Source: An Online Approach for Sensor Placement and Source Localization. WWW 2017: 1151-1160 - [i15]Brunella Spinelli, L. Elisa Celis, Patrick Thiran:
Back to the Source: an Online Approach for Sensor Placement and Source Localization. CoRR abs/1702.01056 (2017) - [i14]L. Elisa Celis, Farnood Salehi:
Lean From Thy Neighbor: Stochastic & Adversarial Bandits in a Network. CoRR abs/1704.04470 (2017) - [i13]L. Elisa Celis, Damian Straszak, Nisheeth K. Vishnoi:
Ranking with Fairness Constraints. CoRR abs/1704.06840 (2017) - [i12]L. Elisa Celis, Aida Sadat Mousavifar:
A Model for Information Networks: Efficiency, Stability and Dynamics. CoRR abs/1705.03055 (2017) - [i11]L. Elisa Celis, Peter M. Krafft, Nisheeth K. Vishnoi:
A Distributed Learning Dynamics in Social Groups. CoRR abs/1705.03414 (2017) - [i10]L. Elisa Celis, Nisheeth K. Vishnoi:
Fair Personalization. CoRR abs/1707.02260 (2017) - [i9]Farnood Salehi, L. Elisa Celis, Patrick Thiran:
Stochastic Optimization with Bandit Sampling. CoRR abs/1708.02544 (2017) - [i8]L. Elisa Celis, Lingxiao Huang, Nisheeth K. Vishnoi:
Group Fairness in Multiwinner Voting. CoRR abs/1710.10057 (2017) - [i7]Farnood Salehi, Patrick Thiran, L. Elisa Celis:
Stochastic Dual Coordinate Descent with Bandit Sampling. CoRR abs/1712.03010 (2017) - 2016
- [c14]Brunella Spinelli, L. Elisa Celis, Patrick Thiran:
Observer placement for source localization: The effect of budgets and transmission variance. Allerton 2016: 743-751 - [c13]L. Elisa Celis, Sai Praneeth Reddy, Ishaan Preet Singh, Shailesh Vaya:
Assignment Techniques for Crowdsourcing Sensitive Tasks. CSCW 2016: 834-845 - [c12]L. Elisa Celis, Peter M. Krafft, Nathan Kobe:
Sequential Voting Promotes Collective Discovery in Social Recommendation Systems. ICWSM 2016: 42-51 - [i6]L. Elisa Celis, Peter M. Krafft, Nathan Kobe:
Sequential Voting Promotes Collective Discovery in Social Recommendation Systems. CoRR abs/1603.04466 (2016) - [i5]Brunella Spinelli, L. Elisa Celis, Patrick Thiran:
Observer Placement for Source Localization: The Effect of Budgets and Transmission Variance. CoRR abs/1608.04567 (2016) - [i4]L. Elisa Celis, Amit Deshpande, Tarun Kathuria, Nisheeth K. Vishnoi:
How to be Fair and Diverse? CoRR abs/1610.07183 (2016) - 2015
- [j4]L. Elisa Celis, Filip Pavetic, Brunella Spinelli, Patrick Thiran:
Budgeted sensor placement for source localization on trees. Electron. Notes Discret. Math. 50: 65-70 (2015) - [j3]Sakyajit Bhattacharya, Laura Elisa Celis, Deepthi Chander, Koustuv Dasgupta, Saraschandra Karanam, Vaibhav Rajan:
Crowds of Crowds: Performance based Modeling and Optimization over Multiple Crowdsourcing Platforms. Hum. Comput. 2(1): 105-131 (2015) - [e1]Horst Lichter, Toni Anwar, Thanwadee Sunetnanta, Matthias Vianden, Alpana Dubey, L. Elisa Celis, Emanuel S. Grant, Venky Shankararaman:
Joint Proceedings of the 3rd International Workshop on Quantitative Approaches to Software Quality (QuASoQ), the Workshop on Alternate Workforces for Software Engineering (WAWSE) and the 1st International Workshop on Case Method for Computing Education (CMCE) co-located with APSEC 2015, New Delhi, India, December 1, 2015. CEUR Workshop Proceedings 1519, CEUR-WS.org 2015 [contents] - [i3]L. Elisa Celis, Aida Sadat Mousavifar:
A Model for Social Network Formation: Efficiency, Stability and Dynamics. CoRR abs/1510.09025 (2015) - 2014
- [j2]L. Elisa Celis, Gregory Lewis, Markus M. Möbius, Hamid Nazerzadeh:
Buy-It-Now or Take-a-Chance: Price Discrimination Through Randomized Auctions. Manag. Sci. 60(12): 2927-2948 (2014) - [c11]Saraschandra Karanam, Deepthi Chander, L. Elisa Celis, Koustuv Dasgupta, Vaibhav Rajan:
Adaptive Performance Optimization over Crowd Labor Channels. HCOMP 2014: 30-31 - [c10]Pallavi Manohar, Deepthi Chander, L. Elisa Celis, Koustuv Dasgupta, Sakyajit Bhattacharya:
Post It or Not: Viewership Based Posting of Crowdsourced Tasks. HCOMP 2014: 44-45 - [c9]Deepthi Chander, Sakyajit Bhattacharya, L. Elisa Celis, Koustuv Dasgupta, Saraschandra Karanam, Vaibhav Rajan, Avantika Gupta:
CrowdUtility: A Recommendation System for Crowdsourcing Platforms. HCOMP 2014: 69-70 - 2013
- [j1]L. Elisa Celis, Omer Reingold, Gil Segev, Udi Wieder:
Balls and Bins: Smaller Hash Families and Faster Evaluation. SIAM J. Comput. 42(3): 1030-1050 (2013) - [c8]L. Elisa Celis, Shourya Roy, Vivek Mishra:
Lottery-Based Payment Mechanism for Microtasks. HCOMP (Works in Progress / Demos) 2013 - [c7]L. Elisa Celis, Dimitrios C. Gklezakos, Anna R. Karlin:
On Revenue Maximization for Agents with Costly Information Acquisition - Extended Abstract. ICALP (2) 2013: 484-495 - [c6]L. Elisa Celis, Koustuv Dasgupta, Vaibhav Rajan:
Adaptive crowdsourcing for temporal crowds. WWW (Companion Volume) 2013: 1093-1100 - 2012
- [b1]Laura Elisa Celis:
Information Economics in the Age of e-Commerce: Models and Mechanisms for Information-Rich Markets. University of Washington, USA, 2012 - [c5]L. Elisa Celis, Anna R. Karlin, Kevin Leyton-Brown, C. Thach Nguyen, David R. M. Thompson:
Approximately Revenue-Maximizing Auctions for Deliberative Agents. AAAI 2012: 1313-1318 - 2011
- [c4]L. Elisa Celis, Omer Reingold, Gil Segev, Udi Wieder:
Balls and Bins: Smaller Hash Families and Faster Evaluation. FOCS 2011: 599-608 - [c3]L. Elisa Celis, Gregory Lewis, Markus M. Möbius, Hamid Nazerzadeh:
Buy-it-now or take-a-chance: a simple sequential screening mechanism. WWW 2011: 147-156 - [i2]L. Elisa Celis, Omer Reingold, Gil Segev, Udi Wieder:
Balls and Bins: Smaller Hash Families and Faster Evaluation. Electron. Colloquium Comput. Complex. TR11 (2011) - 2010
- [c2]L. Elisa Celis, Nikhil R. Devanur, Yuval Peres:
Local Dynamics in Bargaining Networks via Random-Turn Games. WINE 2010: 133-144
2000 – 2009
- 2009
- [c1]Yossi Azar, Benjamin E. Birnbaum, L. Elisa Celis, Nikhil R. Devanur, Yuval Peres:
Convergence of Local Dynamics to Balanced Outcomes in Exchange Networks. FOCS 2009: 293-302 - [i1]Yossi Azar, Benjamin E. Birnbaum, L. Elisa Celis, Nikhil R. Devanur, Yuval Peres:
Convergence of Local Dynamics to Balanced Outcomes in Exchange Networks. CoRR abs/0907.4356 (2009)
Coauthor Index
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