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Steve Hanneke

ICML 2026×5FOCS 2026×2STOC 2026×2理论与学习动力学推理

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一作贡献230

核心/参与21

方向广度10

合作网络12

6 一作 · 9 篇 · ICML 2026 / FOCS 2026 / STOC 2026

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2026 顶会论文

9

一作STOC 2026Oral· Theory of Computing

On the Learning Curves of Revenue Maximization

Steve Hanneke · Alkis Kalavasis · Shay Moran · Grigoris Velegkas

理论与学习动力学OpenReview

作者位次 #3/7STOC 2026Oral· Theory of Computing

Sample Complexity of Agnostic Multiclass Classification: Natarajan Dimension Strikes Back

Alon Cohen · Liad Erez · Steve Hanneke · Tomer Koren · Yishay Mansour · Shay Moran · Qian Zhang

理论与学习动力学OpenReview

一作ICML 2026Poster· Theory / Domain Adaptation and Transfer Learning

When More Data Doesn't Help: Limits of Adaptation in Multitask Learning

Steve Hanneke · Mingyue Xu

理论与学习动力学OpenReview

一作ICML 2026Poster· Theory / Learning Theory

Universal Multiclass Transductive Online Learning

Steve Hanneke · Hongao Wang

理论与学习动力学OpenReview

作者位次 #2/3ICML 2026Poster· Theory / Learning Theory

Realizable Bayes-Consistency for General Metric Losses

Dan Tsir Cohen · Steve Hanneke · Aryeh Kontorovich

理论与学习动力学OpenReview

一作ICML 2026Poster

Language Generation with Feedback: Queries and Mistakes

Steve Hanneke · Amin Karbasi · Anay Mehrotra · Grigorios Velegkas

作者位次 #3/3ICML 2026Poster

Learning Partial Concept Classes and Universal Rates Under Massart Noise

Ariel Avital · Klim Efremenko · Steve Hanneke

一作FOCS 2026Oral· Algorithms & Complexity Theory

Sample Complexity of Autoregressive Reasoning: Chain-of-Thought vs. End-to-End

Steve Hanneke · Idan Mehalel · Shay Moran

推理理论与学习动力学OpenReview

一作FOCS 2026Oral· Algorithms & Complexity Theory

The optimal information complexity of VC learning

Steve Hanneke · Juexiao Wang

理论与学习动力学OpenReview

常见合作者

SMShay Moran×3 AKAlkis Kalavasis GVGrigoris Velegkas ACAlon Cohen LELiad Erez TKTomer Koren YMYishay Mansour QZQian Zhang MXMingyue Xu HWHongao Wang DCDan Tsir Cohen AKAryeh Kontorovich