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Ido Nachum
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2020 – today
- 2024
- [c8]Michael Gastpar, Ido Nachum, Jonathan Shafer, Thomas Weinberger:
Fantastic Generalization Measures are Nowhere to be Found. ICLR 2024 - 2023
- [i10]Michael Gastpar, Ido Nachum, Jonathan Shafer, Thomas Weinberger:
Fantastic Generalization Measures are Nowhere to be Found. CoRR abs/2309.13658 (2023) - 2022
- [c7]Ido Nachum, Jan Hazla, Michael Gastpar, Anatoly Khina:
A Johnson-Lindenstrauss Framework for Randomly Initialized CNNs. ICLR 2022 - [c6]Aditya Pradeep, Ido Nachum, Michael Gastpar:
Finite Littlestone Dimension Implies Finite Information Complexity. ISIT 2022: 3055-3060 - [i9]Aditya Pradeep, Ido Nachum, Michael Gastpar:
Finite Littlestone Dimension Implies Finite Information Complexity. CoRR abs/2206.13257 (2022) - 2021
- [j1]Emmanuel Abbe, Jan Hazla, Ido Nachum:
Almost-Reed-Muller Codes Achieve Constant Rates for Random Errors. IEEE Trans. Inf. Theory 67(12): 8034-8050 (2021) - [i8]Elisabetta Cornacchia, Jan Hazla, Ido Nachum, Amir Yehudayoff:
Regularization by Misclassification in ReLU Neural Networks. CoRR abs/2111.02154 (2021) - [i7]Ido Nachum, Jan Hazla, Michael Gastpar, Anatoly Khina:
A Johnson-Lindenstrauss Framework for Randomly Initialized CNNs. CoRR abs/2111.02155 (2021) - 2020
- [c5]Shay Moran, Ido Nachum, Itai Panasoff, Amir Yehudayoff:
On the Perceptron's Compression. CiE 2020: 310-325 - [c4]Ido Nachum, Amir Yehudayoff:
On Symmetry and Initialization for Neural Networks. LATIN 2020: 401-412 - [i6]Emmanuel Abbe, Jan Hazla, Ido Nachum:
Almost-Reed-Muller Codes Achieve Constant Rates for Random Errors. CoRR abs/2004.09590 (2020)
2010 – 2019
- 2019
- [c3]Ido Nachum, Amir Yehudayoff:
Average-Case Information Complexity of Learning. ALT 2019: 633-646 - [i5]Ido Nachum, Amir Yehudayoff:
On Symmetry and Initialization for Neural Networks. CoRR abs/1907.00560 (2019) - 2018
- [c2]Raef Bassily, Shay Moran, Ido Nachum, Jonathan Shafer, Amir Yehudayoff:
Learners that Use Little Information. ALT 2018: 25-55 - [c1]Ido Nachum, Jonathan Shafer, Amir Yehudayoff:
A Direct Sum Result for the Information Complexity of Learning. COLT 2018: 1547-1568 - [i4]Ido Nachum, Jonathan Shafer, Amir Yehudayoff:
A Direct Sum Result for the Information Complexity of Learning. CoRR abs/1804.05474 (2018) - [i3]Shay Moran, Ido Nachum, Itai Panasoff, Amir Yehudayoff:
On the Perceptron's Compression. CoRR abs/1806.05403 (2018) - [i2]Ido Nachum, Amir Yehudayoff:
Average-Case Information Complexity of Learning. CoRR abs/1811.09923 (2018) - 2017
- [i1]Raef Bassily, Shay Moran, Ido Nachum, Jonathan Shafer, Amir Yehudayoff:
Learners that Leak Little Information. CoRR abs/1710.05233 (2017)
Coauthor Index
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