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Theodor Misiakiewicz
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2020 – today
- 2024
- [i16]Hong Hu, Yue M. Lu, Theodor Misiakiewicz:
Asymptotics of Random Feature Regression Beyond the Linear Scaling Regime. CoRR abs/2403.08160 (2024) - [i15]Theodor Misiakiewicz, Basil Saeed:
A non-asymptotic theory of Kernel Ridge Regression: deterministic equivalents, test error, and GCV estimator. CoRR abs/2403.08938 (2024) - [i14]Leonardo Defilippis, Bruno Loureiro, Theodor Misiakiewicz:
Dimension-free deterministic equivalents for random feature regression. CoRR abs/2405.15699 (2024) - [i13]Nirmit Joshi, Theodor Misiakiewicz, Nathan Srebro:
On the Complexity of Learning Sparse Functions with Statistical and Gradient Queries. CoRR abs/2407.05622 (2024) - 2023
- [c10]Emmanuel Abbe, Enric Boix Adserà, Theodor Misiakiewicz:
SGD learning on neural networks: leap complexity and saddle-to-saddle dynamics. COLT 2023: 2552-2623 - [i12]Emmanuel Abbe, Enric Boix-Adserà, Theodor Misiakiewicz:
SGD learning on neural networks: leap complexity and saddle-to-saddle dynamics. CoRR abs/2302.11055 (2023) - [i11]Theodor Misiakiewicz, Andrea Montanari:
Six Lectures on Linearized Neural Networks. CoRR abs/2308.13431 (2023) - 2022
- [c9]Emmanuel Abbe, Enric Boix Adserà, Theodor Misiakiewicz:
The merged-staircase property: a necessary and nearly sufficient condition for SGD learning of sparse functions on two-layer neural networks. COLT 2022: 4782-4887 - [c8]Theodor Misiakiewicz, Song Mei:
Learning with convolution and pooling operations in kernel methods. NeurIPS 2022 - [c7]Lechao Xiao, Hong Hu, Theodor Misiakiewicz, Yue Lu, Jeffrey Pennington:
Precise Learning Curves and Higher-Order Scalings for Dot-product Kernel Regression. NeurIPS 2022 - [i10]Emmanuel Abbe, Enric Boix-Adserà, Theodor Misiakiewicz:
The merged-staircase property: a necessary and nearly sufficient condition for SGD learning of sparse functions on two-layer neural networks. CoRR abs/2202.08658 (2022) - 2021
- [c6]Song Mei, Theodor Misiakiewicz, Andrea Montanari:
Learning with invariances in random features and kernel models. COLT 2021: 3351-3418 - [i9]Song Mei, Theodor Misiakiewicz, Andrea Montanari:
Learning with invariances in random features and kernel models. CoRR abs/2102.13219 (2021) - [i8]Michael Celentano, Theodor Misiakiewicz, Andrea Montanari:
Minimum complexity interpolation in random features models. CoRR abs/2103.15996 (2021) - [i7]Theodor Misiakiewicz, Song Mei:
Learning with convolution and pooling operations in kernel methods. CoRR abs/2111.08308 (2021) - 2020
- [c5]Behrooz Ghorbani, Song Mei, Theodor Misiakiewicz, Andrea Montanari:
When Do Neural Networks Outperform Kernel Methods? NeurIPS 2020 - [i6]Behrooz Ghorbani, Song Mei, Theodor Misiakiewicz, Andrea Montanari:
When Do Neural Networks Outperform Kernel Methods? CoRR abs/2006.13409 (2020)
2010 – 2019
- 2019
- [c4]Song Mei, Theodor Misiakiewicz, Andrea Montanari:
Mean-field theory of two-layers neural networks: dimension-free bounds and kernel limit. COLT 2019: 2388-2464 - [c3]Behrooz Ghorbani, Song Mei, Theodor Misiakiewicz, Andrea Montanari:
Limitations of Lazy Training of Two-layers Neural Network. NeurIPS 2019: 9108-9118 - [i5]Song Mei, Theodor Misiakiewicz, Andrea Montanari:
Mean-field theory of two-layers neural networks: dimension-free bounds and kernel limit. CoRR abs/1902.06015 (2019) - [i4]Behrooz Ghorbani, Song Mei, Theodor Misiakiewicz, Andrea Montanari:
Linearized two-layers neural networks in high dimension. CoRR abs/1904.12191 (2019) - [i3]Behrooz Ghorbani, Song Mei, Theodor Misiakiewicz, Andrea Montanari:
Limitations of Lazy Training of Two-layers Neural Networks. CoRR abs/1906.08899 (2019) - 2017
- [c2]Song Mei, Theodor Misiakiewicz, Andrea Montanari, Roberto Imbuzeiro Oliveira:
Solving SDPs for synchronization and MaxCut problems via the Grothendieck inequality. COLT 2017: 1476-1515 - 2015
- [c1]Marc Vuffray
, Theodor Misiakiewicz:
Concentration to zero bit-error probability for regular LDPC codes on the binary symmetric channel: Proof by loop calculus. Allerton 2015: 115-124 - [i2]Marc Vuffray, Theodor Misiakiewicz:
Concentration to Zero Bit-Error Probability for Regular LDPC Codes on the Binary Symmetric Channel: Proof by Loop Calculus. CoRR abs/1509.05477 (2015) - [i1]Andrey Y. Lokhov, Theodor Misiakiewicz:
Efficient reconstruction of transmission probabilities in a spreading process from partial observations. CoRR abs/1509.06893 (2015)
Coauthor Index
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