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Author search results
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- Manfred K. Warmuth
University of California, Santa Cruz, USA
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Publication search results
found 246 matches
- 2024
- Ehsan Amid, Frank Nielsen, Richard Nock, Manfred K. Warmuth:
Optimal Transport with Tempered Exponential Measures. AAAI 2024: 10838-10846 - Jacob D. Abernethy, Alekh Agarwal, Teodor Vanislavov Marinov, Manfred K. Warmuth:
A Mechanism for Sample-Efficient In-Context Learning for Sparse Retrieval Tasks. ALT 2024: 3-46 - Richard Nock, Ehsan Amid, Frank Nielsen, Alexander Soen, Manfred K. Warmuth:
Tempered Calculus for ML: Application to Hyperbolic Model Embedding. CoRR abs/2402.04163 (2024) - Manfred K. Warmuth, Wojciech Kotlowski, Matt Jones, Ehsan Amid:
Noise misleads rotation invariant algorithms on sparse targets. CoRR abs/2403.02697 (2024) - 2023
- Ehsan Amid, Rohan Anil, Christopher Fifty, Manfred K. Warmuth:
Layerwise Bregman Representation Learning of Neural Networks with Applications to Knowledge Distillation. Trans. Mach. Learn. Res. 2023 (2023) - Ehsan Amid, Richard Nock, Manfred K. Warmuth:
Clustering above Exponential Families with Tempered Exponential Measures. AISTATS 2023: 2994-3017 - Manfred K. Warmuth, Ehsan Amid:
Open Problem: Learning sparse linear concepts by priming the features. COLT 2023: 5937-5942 - Richard Nock, Ehsan Amid, Manfred K. Warmuth:
Boosting with Tempered Exponential Measures. NeurIPS 2023 - Jacob D. Abernethy, Alekh Agarwal, Teodor V. Marinov, Manfred K. Warmuth:
A Mechanism for Sample-Efficient In-Context Learning for Sparse Retrieval Tasks. CoRR abs/2305.17040 (2023) - Richard Nock, Ehsan Amid, Manfred K. Warmuth:
Boosting with Tempered Exponential Measures. CoRR abs/2306.05487 (2023) - Ehsan Amid, Frank Nielsen, Richard Nock, Manfred K. Warmuth:
Optimal Transport with Tempered Exponential Measures. CoRR abs/2309.04015 (2023) - Ehsan Amid, Frank Nielsen, Richard Nock, Manfred K. Warmuth:
The Tempered Hilbert Simplex Distance and Its Application To Non-linear Embeddings of TEMs. CoRR abs/2311.13459 (2023) - 2022
- Jérémie Chalopin
, Victor Chepoi, Shay Moran, Manfred K. Warmuth:
Unlabeled sample compression schemes and corner peelings for ample and maximum classes. J. Comput. Syst. Sci. 127: 1-28 (2022) - Michal Derezinski, Manfred K. Warmuth, Daniel Hsu:
Unbiased estimators for random design regression. J. Mach. Learn. Res. 23: 167:1-167:46 (2022) - Ehsan Amid, Rohan Anil, Manfred K. Warmuth:
LocoProp: Enhancing BackProp via Local Loss Optimization. AISTATS 2022: 9626-9642 - Ehsan Amid, Rohan Anil, Christopher Fifty, Manfred K. Warmuth:
Step-size Adaptation Using Exponentiated Gradient Updates. CoRR abs/2202.00145 (2022) - Ehsan Amid, Rohan Anil, Wojciech Kotlowski, Manfred K. Warmuth:
Learning from Randomly Initialized Neural Network Features. CoRR abs/2202.06438 (2022) - Ehsan Amid, Rohan Anil, Christopher Fifty, Manfred K. Warmuth:
Layerwise Bregman Representation Learning with Applications to Knowledge Distillation. CoRR abs/2209.07080 (2022) - Ehsan Amid, Richard Nock, Manfred K. Warmuth:
Clustering above Exponential Families with Tempered Exponential Measures. CoRR abs/2211.02765 (2022) - 2021
- Manfred K. Warmuth, Wojciech Kotlowski, Ehsan Amid:
A case where a spindly two-layer linear network decisively outperforms any neural network with a fully connected input layer. ALT 2021: 1214-1236 - Negin Majidi, Ehsan Amid, Hossein Talebi, Manfred K. Warmuth:
Exponentiated Gradient Reweighting for Robust Training Under Label Noise and Beyond. CoRR abs/2104.01493 (2021) - Ehsan Amid, Rohan Anil, Manfred K. Warmuth:
LocoProp: Enhancing BackProp via Local Loss Optimization. CoRR abs/2106.06199 (2021) - 2020
- Ehsan Amid, Manfred K. Warmuth:
An Implicit Form of Krasulina's k-PCA Update without the Orthonormality Constraint. AAAI 2020: 3179-3186 - Ehsan Amid, Manfred K. Warmuth:
Winnowing with Gradient Descent. COLT 2020: 163-182 - Hossein Talebi, Ehsan Amid, Peyman Milanfar, Manfred K. Warmuth:
Rank-Smoothed Pairwise Learning In Perceptual Quality Assessment. ICIP 2020: 3413-3417 - Ehsan Amid, Manfred K. Warmuth:
Reparameterizing Mirror Descent as Gradient Descent. NeurIPS 2020 - Ehsan Amid, Manfred K. Warmuth:
Divergence-Based Motivation for Online EM and Combining Hidden Variable Models. UAI 2020: 81-90 - Ehsan Amid, Manfred K. Warmuth:
Interpolating Between Gradient Descent and Exponentiated Gradient Using Reparameterized Gradient Descent. CoRR abs/2002.10487 (2020) - Manfred K. Warmuth, Wojciech Kotlowski, Ehsan Amid:
A case where a spindly two-layer linear network whips any neural network with a fully connected input layer. CoRR abs/2010.08625 (2020) - Hossein Talebi, Ehsan Amid, Peyman Milanfar, Manfred K. Warmuth:
Rank-smoothed Pairwise Learning In Perceptual Quality Assessment. CoRR abs/2011.10893 (2020)
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