Idan Attias
18 papers · 2019–2026 · 6 conferences · across top CS/AI conferences
Achievements
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🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (6) 🏃 Academic Marathon (6) 🐝 Cross-Pollinator (14)
🏃
Academic Marathon
(6)
🐣
Hot Topic Early Bird
🏆
Keyword Champion
(2)
🔬
Deep Specialist
(10)
🗃️
Keyword Collector
(54)
💎
Century Club
(17)
⚡
Prolific Year
(6)
Conferences
ICML (5)
NIPS (4)
ALT (3)
COLT (3)
JMLR (2)
AAAI (1)
Top co-authors
Keywords
pac learning
(4)
online learning
(4)
adversarial robustness
(3)
sample complexity
(3)
generalization bound
(3)
binary classification
(2)
fat-shattering dimension
(2)
regret bound
(2)
zero-sum game
(2)
multi-class classification
(1)
empirical risk minimization
(1)
minimax optimization
(1)
adversarial learning
(1)
rademacher complexity
(1)
expert advice
(1)
online mirror descent
(1)
robust classification
(1)
regression analysis
(1)
sample compression
(1)
game theory
(1)
Papers
On the Hardness of Learning Regular Expressions
ALT 2026
Capacity-Constrained Online Learning with Delays: Scheduling Frameworks and Regret Trade-offs
COLT 2025
Sample Compression Scheme Reductions
ALT 2025
PAC Learning with Improvements
ICML 2025
Sequential Probability Assignment with Contexts: Minimax Regret, Contextual Shtarkov Sums, and Contextual Normalized Maximum Likelihood
NIPS 2024
Fat-Shattering Dimension of k-fold Aggregations
JMLR 2024
Universal Rates for Regression: Separations between Cut-Off and Absolute Loss
COLT 2024
Information Complexity of Stochastic Convex Optimization: Applications to Generalization, Memorization, and Tracing
ICML 2024
Agnostic Sample Compression Schemes for Regression
ICML 2024
Causal Bandits: The Pareto Optimal Frontier of Adaptivity, a Reduction to Linear Bandits, and Limitations around Unknown Marginals
ICML 2024
Adversarially Robust PAC Learnability of Real-Valued Functions
ICML 2023
Optimal Learners for Realizable Regression: PAC Learning and Online Learning
NIPS 2023
Learning Revenue Maximization Using Posted Prices for Stochastic Strategic Patient Buyers
AAAI 2023
Online Learning and Solving Infinite Games with an ERM Oracle
COLT 2023
A Characterization of Semi-Supervised Adversarially Robust PAC Learnability
NIPS 2022
Improved Generalization Bounds for Adversarially Robust Learning
JMLR 2022
Prediction with Corrupted Expert Advice
NIPS 2020
Improved Generalization Bounds for Robust Learning
ALT 2019