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 Ehsan Amid, Richard Nock, Wojciech Kotłowski
14 papers
· 2011–2025
· COLT, NeurIPS, ALT
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How rotation invariant algorithms are fooled by noise on sparse targets
ALT 2025
Hyperbolic Embeddings of Supervised Models
NeurIPS 2024
Optimal Transport with Tempered Exponential Measures
AAAI 2024
Clustering above Exponential Families with Tempered Exponential Measures
AISTATS 2023
Open Problem: Learning sparse linear concepts by priming the features
COLT 2023
A case where a spindly two-layer linear network decisively outperforms any neural network with a fully connected input layer
ALT 2021
An Implicit Form of Krasulina's k-PCA Update without the Orthonormality Constraint
AAAI 2020
Divergence-Based Motivation for Online EM and Combining Hidden Variable Models
UAI 2020
Reparameterizing Mirror Descent as Gradient Descent
NeurIPS 2020
Winnowing with Gradient Descent
COLT 2020
Robust Bi-Tempered Logistic Loss Based on Bregman Divergences
NeurIPS 2019
Two-temperature logistic regression based on the Tsallis divergence
AISTATS 2019
Follow the Leader with Dropout Perturbations
COLT 2014
Minimax Algorithm for Learning Rotations
COLT 2011
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