Timezone: »
Spotlight 4: Estimation of Standard Asymmetric Auction Models
Yeshwanth Cherapanamjeri · Constantinos Daskalakis · Andrew Ilyas · Emmanouil Zampetakis
Author Information
Yeshwanth Cherapanamjeri (UC Berkeley)
Constantinos Daskalakis (MIT)
Andrew Ilyas (MIT)
Emmanouil Zampetakis (UC Berkeley)
More from the Same Authors
-
2021 Spotlight: A single gradient step finds adversarial examples on random two-layers neural networks »
Sebastien Bubeck · Yeshwanth Cherapanamjeri · Gauthier Gidel · Remi Tachet des Combes -
2021 : Estimation of Standard Asymmetric Auction Models »
Yeshwanth Cherapanamjeri · Constantinos Daskalakis · Andrew Ilyas · Emmanouil Zampetakis -
2021 : Estimation of Standard Asymmetric Auction Models »
Yeshwanth Cherapanamjeri · Constantinos Daskalakis · Andrew Ilyas · Emmanouil Zampetakis -
2022 : A Unified Framework for Comparing Learning Algorithms »
Harshay Shah · Sung Min Park · Andrew Ilyas · Aleksander Madry -
2023 Workshop: Attributing Model Behavior at Scale (ATTRIB) »
Tolga Bolukbasi · Logan Engstrom · Kelvin Guu · Andrew Ilyas · Sung Min Park · Ellie Pavlick · Anders Søgaard -
2022 Poster: 3DB: A Framework for Debugging Computer Vision Models »
Guillaume Leclerc · Hadi Salman · Andrew Ilyas · Sai Vemprala · Logan Engstrom · Vibhav Vineet · Kai Xiao · Pengchuan Zhang · Shibani Santurkar · Greg Yang · Ashish Kapoor · Aleksander Madry -
2021 Poster: Identity testing for Mallows model »
Róbert Busa-Fekete · Dimitris Fotakis · Balazs Szorenyi · Emmanouil Zampetakis -
2021 Poster: Private and Non-private Uniformity Testing for Ranking Data »
Róbert Busa-Fekete · Dimitris Fotakis · Emmanouil Zampetakis -
2021 Poster: Adversarial Examples in Multi-Layer Random ReLU Networks »
Peter Bartlett · Sebastien Bubeck · Yeshwanth Cherapanamjeri -
2021 Poster: A single gradient step finds adversarial examples on random two-layers neural networks »
Sebastien Bubeck · Yeshwanth Cherapanamjeri · Gauthier Gidel · Remi Tachet des Combes -
2021 Poster: Unadversarial Examples: Designing Objects for Robust Vision »
Hadi Salman · Andrew Ilyas · Logan Engstrom · Sai Vemprala · Aleksander Madry · Ashish Kapoor -
2020 Poster: On Adaptive Distance Estimation »
Yeshwanth Cherapanamjeri · Jelani Nelson -
2020 Spotlight: On Adaptive Distance Estimation »
Yeshwanth Cherapanamjeri · Jelani Nelson -
2020 Poster: Do Adversarially Robust ImageNet Models Transfer Better? »
Hadi Salman · Andrew Ilyas · Logan Engstrom · Ashish Kapoor · Aleksander Madry -
2020 Oral: Do Adversarially Robust ImageNet Models Transfer Better? »
Hadi Salman · Andrew Ilyas · Logan Engstrom · Ashish Kapoor · Aleksander Madry -
2019 : Break / Poster Session 1 »
Antonia Marcu · Yao-Yuan Yang · Pascale Gourdeau · Chen Zhu · Thodoris Lykouris · Jianfeng Chi · Mark Kozdoba · Arjun Nitin Bhagoji · Xiaoxia Wu · Jay Nandy · Michael T Smith · Bingyang Wen · Yuege Xie · Konstantinos Pitas · Suprosanna Shit · Maksym Andriushchenko · Dingli Yu · Gaël Letarte · Misha Khodak · Hussein Mozannar · Chara Podimata · James Foulds · Yizhen Wang · Huishuai Zhang · Ondrej Kuzelka · Alexander Levine · Nan Lu · Zakaria Mhammedi · Paul Viallard · Diana Cai · Lovedeep Gondara · James Lucas · Yasaman Mahdaviyeh · Aristide Baratin · Rishi Bommasani · Alessandro Barp · Andrew Ilyas · Kaiwen Wu · Jens Behrmann · Omar Rivasplata · Amir Nazemi · Aditi Raghunathan · Will Stephenson · Sahil Singla · Akhil Gupta · YooJung Choi · Yannic Kilcher · Clare Lyle · Edoardo Manino · Andrew Bennett · Zhi Xu · Niladri Chatterji · Emre Barut · Flavien Prost · Rodrigo Toro Icarte · Arno Blaas · Chulhee Yun · Sahin Lale · YiDing Jiang · Tharun Kumar Reddy Medini · Ashkan Rezaei · Alexander Meinke · Stephen Mell · Gary Kazantsev · Shivam Garg · Aradhana Sinha · Vishnu Lokhande · Geovani Rizk · Han Zhao · Aditya Kumar Akash · Jikai Hou · Ali Ghodsi · Matthias Hein · Tyler Sypherd · Yichen Yang · Anastasia Pentina · Pierre Gillot · Antoine Ledent · Guy Gur-Ari · Noah MacAulay · Tianzong Zhang -
2019 Poster: Image Synthesis with a Single (Robust) Classifier »
Shibani Santurkar · Andrew Ilyas · Dimitris Tsipras · Logan Engstrom · Brandon Tran · Aleksander Madry -
2019 Poster: Adversarial Examples Are Not Bugs, They Are Features »
Andrew Ilyas · Shibani Santurkar · Dimitris Tsipras · Logan Engstrom · Brandon Tran · Aleksander Madry -
2019 Spotlight: Adversarial Examples Are Not Bugs, They Are Features »
Andrew Ilyas · Shibani Santurkar · Dimitris Tsipras · Logan Engstrom · Brandon Tran · Aleksander Madry -
2018 Poster: Learning and Testing Causal Models with Interventions »
Jayadev Acharya · Arnab Bhattacharyya · Constantinos Daskalakis · Saravanan Kandasamy -
2018 Poster: How Does Batch Normalization Help Optimization? »
Shibani Santurkar · Dimitris Tsipras · Andrew Ilyas · Aleksander Madry -
2018 Oral: How Does Batch Normalization Help Optimization? »
Shibani Santurkar · Dimitris Tsipras · Andrew Ilyas · Aleksander Madry -
2017 : Synthesizing Robust Adversarial Examples »
Andrew Ilyas · Anish Athalye · Logan Engstrom · Kevin Kwok