Articles by Manfred K. Warmuth | Synthical

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Manfred K. Warmuth

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36

Noise misleads rotation invariant algorithms on sparse targets

5 March 2024 by Manfred Warmuth and others

Machine Learning

Optimal Transport with Tempered Exponential Measures

16 February 2024 by Ehsan Amid and others

Machine Learning, Optimization and Control

Tempered Calculus for ML: Application to Hyperbolic Model Embedding

6 February 2024 by Richard Nock and others at

Machine Learning

The Tempered Hilbert Simplex Distance and Its Application To Non-linear Embeddings of TEMs

22 November 2023 by Ehsan Amid and others

Machine Learning

Boosting with Tempered Exponential Measures

8 June 2023 by Richard Nock and others

Machine Learning

A Mechanism for Sample-Efficient In-Context Learning for Sparse Retrieval Tasks

26 May 2023 by Jacob Abernethy and others

Machine Learning, Computation and Language

Unbiased estimators for random design regression

7 June 2022 by Michał Dereziński and others

Machine Learning

TriMap: Large-scale Dimensionality Reduction Using Triplets

26 March 2022 by Ehsan Amid and Manfred Warmuth at

Machine Learning

Learning from Randomly Initialized Neural Network Features

13 February 2022 by Ehsan Amid and others

Machine Learning

Unlabeled sample compression schemes and corner peelings for ample and maximum classes

5 January 2022 by Jérémie Chalopin and others

Discrete Mathematics, Computational Geometry

Exponentiated Gradient Reweighting for Robust Training Under Label Noise and Beyond

3 April 2021 by Negin Majidi and others

Machine Learning

Speech Recognition: Keyword Spotting Through Image Recognition

24 November 2020 by Sanjay Krishna Gouda and others

Machine Learning

Rank-smoothed Pairwise Learning In Perceptual Quality Assessment

21 November 2020 by Hossein Talebi and others

Computer Vision and Pattern Recognition, Machine Learning

A case where a spindly two-layer linear network whips any neural network with a fully connected input layer

16 October 2020 by Manfred Warmuth and others

Machine Learning

Reparameterizing Mirror Descent as Gradient Descent

22 June 2020 by Ehsan Amid and Manfred Warmuth

Machine Learning

Divergence-Based Motivation for Online EM and Combining Hidden Variable Models

21 February 2020 by Ehsan Amid and Manfred Warmuth

Machine Learning

An Implicit Form of Krasulina's k-PCA Update without the Orthonormality Constraint

11 September 2019 by Ehsan Amid and Manfred Warmuth

Machine Learning

Robust Bi-Tempered Logistic Loss Based on Bregman Divergences

26 August 2019 by Ehsan Amid and others

Machine Learning

Two-temperature logistic regression based on the Tsallis divergence

3 August 2019 by Ehsan Amid and others

Machine Learning

Adaptive scale-invariant online algorithms for learning linear models

20 February 2019 by Michał Kempka and others

Machine Learning

Minimax experimental design: Bridging the gap between statistical and worst-case approaches to least squares regression

4 February 2019 by Michał Dereziński and others

Machine Learning

Correcting the bias in least squares regression with volume-rescaled sampling

4 October 2018 by Michał Dereziński and others

Machine Learning

Reverse iterative volume sampling for linear regression

6 June 2018 by Michał Dereziński and Manfred Warmuth

Machine Learning

Leveraged volume sampling for linear regression

28 May 2018 by Michał Dereziński and others

Machine Learning

Online Non-Additive Path Learning under Full and Partial Information

19 April 2018 by Corinna Cortes and others

Machine Learning

A more globally accurate dimensionality reduction method using triplets

1 March 2018 by Ehsan Amid and Manfred Warmuth

Machine Learning

Subsampling for Ridge Regression via Regularized Volume Sampling

23 February 2018 by Michał Dereziński and Manfred Warmuth

Machine Learning

Unbiased estimates for linear regression via volume sampling

7 June 2017 by Michal Derezinski and Manfred Warmuth

Machine Learning

Online Dynamic Programming

7 June 2017 by Holakou Rahmanian and others

Machine Learning

Low-dimensional Data Embedding via Robust Ranking

16 May 2017 by Ehsan Amid and others

Artificial Intelligence, Machine Learning

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Machine Learning Discrete Mathematics Combinatorics Artificial Intelligence Quantum Physics Statistics Theory Mathematical Physics Optimization and Control Computation and Language Computational Geometry Computer Vision and Pattern Recognition Data Analysis, Statistics and Probability