Theodor Misiakiewicz

According to our database1, Theodor Misiakiewicz authored at least 17 papers between 2015 and 2024.

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Bibliography

2024
A non-asymptotic theory of Kernel Ridge Regression: deterministic equivalents, test error, and GCV estimator.
CoRR, 2024

Asymptotics of Random Feature Regression Beyond the Linear Scaling Regime.
CoRR, 2024

2023
Six Lectures on Linearized Neural Networks.
CoRR, 2023

SGD learning on neural networks: leap complexity and saddle-to-saddle dynamics.
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022
Precise Learning Curves and Higher-Order Scalings for Dot-product Kernel Regression.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning with convolution and pooling operations in kernel methods.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

The merged-staircase property: a necessary and nearly sufficient condition for SGD learning of sparse functions on two-layer neural networks.
Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

2021
Minimum complexity interpolation in random features models.
CoRR, 2021

Learning with invariances in random features and kernel models.
Proceedings of the Conference on Learning Theory, 2021

2020
When Do Neural Networks Outperform Kernel Methods?
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Limitations of Lazy Training of Two-layers Neural Networks.
CoRR, 2019

Linearized two-layers neural networks in high dimension.
CoRR, 2019

Limitations of Lazy Training of Two-layers Neural Network.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Mean-field theory of two-layers neural networks: dimension-free bounds and kernel limit.
Proceedings of the Conference on Learning Theory, 2019

2017
Solving SDPs for synchronization and MaxCut problems via the Grothendieck inequality.
Proceedings of the 30th Conference on Learning Theory, 2017

2015
Efficient reconstruction of transmission probabilities in a spreading process from partial observations.
CoRR, 2015

Concentration to zero bit-error probability for regular LDPC codes on the binary symmetric channel: Proof by loop calculus.
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015


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