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FORC
2020
2021
2022
2023
2020
2023
Keyphrases
Publications
2023
Katrin Casel
,
Tobias Friedrich
,
Martin Schirneck
,
Simon Wietheger
Fair Correlation Clustering in Forests.
FORC
(2023)
Front Matter, Table of Contents, Preface, Conference Organization.
FORC
(2023)
Inbal Livni Navon
,
Charlotte Peale
,
Omer Reingold
,
Judy Hanwen Shen
Bidding Strategies for Proportional Representation in Advertisement Campaigns.
FORC
(2023)
Bar Karov
,
Moni Naor
New Algorithms and Applications for Risk-Limiting Audits.
FORC
(2023)
Arpita Biswas
,
Yiduo Ke
,
Samir Khuller
,
Quanquan C. Liu
An Algorithmic Approach to Address Course Enrollment Challenges.
FORC
(2023)
Saba Ahmadi
,
Hedyeh Beyhaghi
,
Avrim Blum
,
Keziah Naggita
Setting Fair Incentives to Maximize Improvement.
FORC
(2023)
Milan Mossé
Multiplicative Metric Fairness Under Composition.
FORC
(2023)
Yoav Ben Dov
,
Liron David
,
Moni Naor
,
Elad Tzalik
Resistance to Timing Attacks for Sampling and Privacy Preserving Schemes.
FORC
(2023)
Jiale Chen
,
Jason D. Hartline
,
Onno Zoeter
Fair Grading Algorithms for Randomized Exams.
FORC
(2023)
Hedyeh Beyhaghi
,
Modibo K. Camara
,
Jason D. Hartline
,
Aleck C. Johnsen
,
Sheng Long
Screening with Disadvantaged Agents.
FORC
(2023)
Pranjal Awasthi
,
Christopher Jung
,
Jamie Morgenstern
Distributionally Robust Data Join.
FORC
(2023)
Cynthia Dwork
,
Omer Reingold
,
Guy N. Rothblum
From the Real Towards the Ideal: Risk Prediction in a Better World.
FORC
(2023)
volume 256, 2023
4th Symposium on Foundations of Responsible Computing, FORC 2023, June 7-9, 2023, Stanford University, California, USA
FORC
256 (2023)
2022
Monika Henzinger
,
Charlotte Peale
,
Omer Reingold
,
Judy Hanwen Shen
Leximax Approximations and Representative Cohort Selection.
FORC
(2022)
Saba Ahmadi
,
Hedyeh Beyhaghi
,
Avrim Blum
,
Keziah Naggita
On Classification of Strategic Agents Who Can Both Game and Improve.
FORC
(2022)
Elbert Du
,
Cynthia Dwork
Improved Generalization Guarantees in Restricted Data Models.
FORC
(2022)
Mark Bun
,
Jörg Drechsler
,
Marco Gaboardi
,
Audra McMillan
,
Jayshree Sarathy
Controlling Privacy Loss in Sampling Schemes: An Analysis of Stratified and Cluster Sampling.
FORC
(2022)
Shuchi Chawla
,
Rojin Rezvan
,
Nathaniel Sauerberg
Individually-Fair Auctions for Multi-Slot Sponsored Search.
FORC
(2022)
Sadia Chowdhury
,
Ruth Urner
Robustness Should Not Be at Odds with Accuracy.
FORC
(2022)
Kunal Talwar
Differential Secrecy for Distributed Data and Applications to Robust Differentially Secure Vector Summation.
FORC
(2022)
Front Matter, Table of Contents, Preface, Conference Organization.
FORC
(2022)
volume 218, 2022
3rd Symposium on Foundations of Responsible Computing, FORC 2022, June 6-8, 2022, Cambridge, MA, USA.
FORC
218 (2022)
2021
Ke Yang
,
Joshua R. Loftus
,
Julia Stoyanovich
Causal Intersectionality and Fair Ranking.
FORC
(2021)
Vincent Cohen-Addad
,
Philip N. Klein
,
Dániel Marx
,
Archer Wheeler
,
Christopher Wolfram
On the Computational Tractability of a Geographic Clustering Problem Arising in Redistricting.
FORC
(2021)
Front Matter, Table of Contents, Preface, Conference Organization.
FORC
(2021)
Claire Lazar Reich
,
Suhas Vijaykumar
A Possibility in Algorithmic Fairness: Can Calibration and Equal Error Rates Be Reconciled?
FORC
(2021)
Christopher Jung
,
Michael Kearns
,
Seth Neel
,
Aaron Roth
,
Logan Stapleton
,
Zhiwei Steven Wu
An Algorithmic Framework for Fairness Elicitation.
FORC
(2021)
Aloni Cohen
,
Moon Duchin
,
J. N. Matthews
,
Bhushan Suwal
Census TopDown: The Impacts of Differential Privacy on Redistricting.
FORC
(2021)
Arun Ganesh
,
Jiazheng Zhao
Privately Answering Counting Queries with Generalized Gaussian Mechanisms.
FORC
(2021)
Emily Diana
,
Wesley Gill
,
Ira Globus-Harris
,
Michael Kearns
,
Aaron Roth
,
Saeed Sharifi-Malvajerdi
Lexicographically Fair Learning: Algorithms and Generalization.
FORC
(2021)
volume 192, 2021
2nd Symposium on Foundations of Responsible Computing, FORC 2021, June 9-11, 2021, Virtual Conference.
FORC
192 (2021)
2020
Front Matter, Table of Contents, Preface, Conference Organization.
FORC
(2020)
Mark Braverman
,
Sumegha Garg
The Role of Randomness and Noise in Strategic Classification.
FORC
(2020)
Christopher Jung
,
Sampath Kannan
,
Neil Lutz
Service in Your Neighborhood: Fairness in Center Location.
FORC
(2020)
Cynthia Dwork
,
Christina Ilvento
,
Meena Jagadeesan
Individual Fairness in Pipelines.
FORC
(2020)
Christina Ilvento
Metric Learning for Individual Fairness.
FORC
(2020)
Cynthia Dwork
,
Christina Ilvento
,
Guy N. Rothblum
,
Pragya Sur
Abstracting Fairness: Oracles, Metrics, and Interpretability.
FORC
(2020)
Avrim Blum
,
Kevin Stangl
Recovering from Biased Data: Can Fairness Constraints Improve Accuracy?
FORC
(2020)
Lee Cohen
,
Zachary C. Lipton
,
Yishay Mansour
Efficient Candidate Screening Under Multiple Tests and Implications for Fairness.
FORC
(2020)
Katrina Ligett
,
Charlotte Peale
,
Omer Reingold
Bounded-Leakage Differential Privacy.
FORC
(2020)
Moni Naor
,
Neil Vexler
Can Two Walk Together: Privacy Enhancing Methods and Preventing Tracking of Users.
FORC
(2020)
Ashesh Rambachan
,
Jonathan Roth
Bias In, Bias Out? Evaluating the Folk Wisdom.
FORC
(2020)
volume 156, 2020
1st Symposium on Foundations of Responsible Computing, FORC 2020, June 1-3, 2020, Harvard University, Cambridge, MA, USA (virtual conference).
FORC
156 (2020)