Timezone: »
Session
Orals & Spotlights Track 24: Learning Theory
Avrim Blum · Steve Hanneke
Wed Dec 09 06:00 PM -- 09:00 PM (PST) @ None
Author Information
Avrim Blum (Toyota Technological Institute at Chicago)
Steve Hanneke (Toyota Technological Institute at Chicago)
More from the Same Authors
-
2021 Spotlight: Excess Capacity and Backdoor Poisoning »
Naren Manoj · Avrim Blum -
2021 : One for One, or All for All: Equilibria and Optimality of Collaboration in Federated Learning »
Richard Phillips · Han Shao · Avrim Blum · Nika Haghtalab -
2021 : On classification of strategic agents who can both game and improve »
Saba Ahmadi · Hedyeh Beyhaghi · Avrim Blum · Keziah Naggita -
2021 : The Strategic Perceptron »
Saba Ahmadi · Hedyeh Beyhaghi · Avrim Blum · Keziah Naggita -
2021 Poster: Excess Capacity and Backdoor Poisoning »
Naren Manoj · Avrim Blum -
2020 Workshop: Workshop on Dataset Curation and Security »
Nathalie Baracaldo Angel · Yonatan Bisk · Avrim Blum · Michael Curry · John Dickerson · Micah Goldblum · Tom Goldstein · Bo Li · Avi Schwarzschild -
2020 Poster: Reducing Adversarially Robust Learning to Non-Robust PAC Learning »
Omar Montasser · Steve Hanneke · Nati Srebro -
2020 Poster: Online Learning with Primary and Secondary Losses »
Avrim Blum · Han Shao -
2019 Poster: On the Value of Target Data in Transfer Learning »
Steve Hanneke · Samory Kpotufe -
2018 Poster: On preserving non-discrimination when combining expert advice »
Avrim Blum · Suriya Gunasekar · Thodoris Lykouris · Nati Srebro -
2017 Poster: Collaborative PAC Learning »
Avrim Blum · Nika Haghtalab · Ariel Procaccia · Mingda Qiao -
2014 Poster: Learning Optimal Commitment to Overcome Insecurity »
Avrim Blum · Nika Haghtalab · Ariel Procaccia -
2014 Poster: Learning Mixtures of Ranking Models »
Pranjal Awasthi · Avrim Blum · Or Sheffet · Aravindan Vijayaraghavan -
2014 Poster: Active Learning and Best-Response Dynamics »
Maria-Florina F Balcan · Christopher Berlind · Avrim Blum · Emma Cohen · Kaushik Patnaik · Le Song -
2014 Spotlight: Learning Mixtures of Ranking Models »
Pranjal Awasthi · Avrim Blum · Or Sheffet · Aravindan Vijayaraghavan -
2010 Spotlight: Trading off Mistakes and Don't-Know Predictions »
Amin Sayedi · Avrim Blum · Morteza Zadimoghaddam -
2010 Poster: Trading off Mistakes and Don't-Know Predictions »
Amin Sayedi · Morteza Zadimoghaddam · Avrim Blum -
2009 Workshop: Clustering: Science or art? Towards principled approaches »
Margareta Ackerman · Shai Ben-David · Avrim Blum · Isabelle Guyon · Ulrike von Luxburg · Robert Williamson · Reza Zadeh -
2009 Poster: Tracking Dynamic Sources of Malicious Activity at Internet Scale »
Shobha Venkataraman · Avrim Blum · Dawn Song · Subhabrata Sen · Oliver Spatscheck -
2009 Spotlight: Tracking Dynamic Sources of Malicious Activity at Internet Scale »
Shobha Venkataraman · Avrim Blum · Dawn Song · Subhabrata Sen · Oliver Spatscheck -
2008 Workshop: New Challanges in Theoretical Machine Learning: Data Dependent Concept Spaces »
Maria-Florina F Balcan · Shai Ben-David · Avrim Blum · Kristiaan Pelckmans · John Shawe-Taylor