Steve Hanneke
77 papers · 2005–2026 · 6 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 22 separate collaboration groups - the largest holds only 48% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Steve Hanneke?
7 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
15 papers whose co-authors appear nowhere else under this name
Conference on Learning Theory 2026: Preface
COLT 2026
A Complete Characterization of Learnability for Stochastic Noisy Bandits
ALT 2025
The Star Number and Eluder Dimension: Elementary Observations About the Dimensions of Disagreement
COLT 2024
Universal Online Learning with Unbounded Losses: Memory Is All You Need
ALT 2022
Universally Consistent Online Learning with Arbitrarily Dependent Responses
ALT 2022
Learning Whenever Learning is Possible: Universal Learning under General Stochastic Processes
JMLR 2021
Open Problem: Is There an Online Learning Algorithm That Learns Whenever Online Learning Is Possible?
COLT 2021
Actively Avoiding Nonsense in Generative Models
COLT 2018
Algorithmic Learning Theory (ALT) 2017: Preface
ALT 2017
Refined Error Bounds for Several Learning Algorithms
JMLR 2016
The Optimal Sample Complexity of PAC Learning
JMLR 2016
A Compression Technique for Analyzing Disagreement-Based Active Learning
JMLR 2015
Activized Learning: Transforming Passive to Active with Improved Label Complexity
JMLR 2012
Robust Interactive Learning
COLT 2012
Network Completion and Survey Sampling
AISTATS 2005