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Generalisation under gradient descent via deterministic PAC-Bayes
6 September 2022
Eugenio Clerico
Tyler Farghly
George Deligiannidis
Benjamin Guedj
Arnaud Doucet
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Papers citing
"Generalisation under gradient descent via deterministic PAC-Bayes"
7 / 57 papers shown
Title
Understanding deep learning requires rethinking generalization
Chiyuan Zhang
Samy Bengio
Moritz Hardt
Benjamin Recht
Oriol Vinyals
HAI
342
4,629
0
10 Nov 2016
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
427
2,941
0
15 Sep 2016
How much does your data exploration overfit? Controlling bias via information usage
D. Russo
James Zou
49
192
0
16 Nov 2015
Train faster, generalize better: Stability of stochastic gradient descent
Moritz Hardt
Benjamin Recht
Y. Singer
116
1,241
0
03 Sep 2015
PAC-Bayesian Estimation and Prediction in Sparse Additive Models
Benjamin Guedj
Pierre Alquier
166
47
0
06 Aug 2012
Sparse single-index model
Pierre Alquier
Gérard Biau
121
91
0
17 Jan 2011
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning
O. Catoni
306
459
0
03 Dec 2007
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