Scholar
Idan Attias
Google Scholar ID: -L6uUy0AAAAJ
Postdoctoral Researcher, IDEAL Institute (UIC and TTIC)
Machine learning
Learning theory
Theoretical computer science
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Citations & Impact
All-time
Citations
364
H-index
10
i10-index
10
Publications
20
Co-authors
32
list available
Contact
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Publications
10 items
Positive Distribution Shift as a Framework for Understanding Tractable Learning
2026
Cited
0
A Reduction from Delayed to Immediate Feedback for Online Convex Optimization with Improved Guarantees
2026
Cited
0
On the Hardness of Learning Regular Expressions
2025
Cited
0
Tradeoffs between Mistakes and ERM Oracle Calls in Online and Transductive Online Learning
2025
Cited
0
Learning-Augmented Algorithms for Boolean Satisfiability
2025
Cited
0
Capacity-Constrained Online Learning with Delays: Scheduling Frameworks and Regret Trade-offs
2025
Cited
0
PAC Learning with Improvements
2025
Cited
0
On the Dichotomy Between Privacy and Traceability in $ell_p$ Stochastic Convex Optimization
2025
Cited
0
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Resume (English only)
Academic Achievements
Two papers accepted as spotlights at NeurIPS 2025.
Paper 'Information Complexity of Stochastic Convex Optimization' won a best paper award at ICML 2024.
Recipient of the Friedman Award for outstanding research achievements.
Named to the Kreitman Dean's List for PhD Students (top 5%) in 2021/2022.
Awarded the Israeli Council of Higher Education (VATAT) scholarship for outstanding PhD students in data science.
Helping organize the learning session at FOCS '24 in Chicago (October 30, 2024).
Multiple papers published at top venues including NeurIPS, ICML, and COLT.
Co-authors
32 total
Co-author 1
Yishay Mansour
Tel Aviv University
Steve Hanneke
Purdue University
Daniel M. Roy
Research Director, Vector Institute; Prof., U. Toronto (Statistics, CS)
Co-author 5
Gintare Karolina Dziugaite
Google DeepMind
Co-author 7
Amin Karbasi
Cisco Foundation AI, ex Robust Intelligence Chief Scientist, ex Yale professor, ex Googler yale.edu
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