Manfred K. Warmuth
42 papers · 2001–2025 · 8 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 11 separate collaboration groups - the largest holds only 33% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Manfred K. Warmuth?
5 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.
with Michal Derezinski, Michał Dereziński, Daniel Hsu
7 papers
· 2014–2022
· NeurIPS, JMLR, AISTATS
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Unbiased estimators for random design regression
JMLR 2022
Correcting the bias in least squares regression with volume-rescaled sampling
AISTATS 2019
Minimax experimental design: Bridging the gap between statistical and worst-case approaches to least squares regression
COLT 2019
Leveraged volume sampling for linear regression
NeurIPS 2018
Reverse Iterative Volume Sampling for Linear Regression
JMLR 2018
Unbiased estimates for linear regression via volume sampling
NeurIPS 2017
The limits of squared Euclidean distance regularization
NeurIPS 2014
6 papers whose co-authors appear nowhere else under this name
A Mechanism for Sample-Efficient In-Context Learning for Sparse Retrieval Tasks
ALT 2024
Online Dynamic Programming
NeurIPS 2017
Repeated Games against Budgeted Adversaries
NeurIPS 2010
Learning Permutations with Exponential Weights
JMLR 2009
Tracking a Small Set of Experts by Mixing Past Posteriors
JMLR 2002
Tracking the Best Linear Predictor
JMLR 2001