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Computing conservative probabilities of rare events with surrogates

Computing conservative probabilities of rare events with surrogates

Nicolas Bousquet
ArXiv (abs)PDFHTML

Papers citing "Computing conservative probabilities of rare events with surrogates"

14 / 14 papers shown
Title
Scalable Methods for Computing Sharp Extreme Event Probabilities in Infinite-Dimensional Stochastic Systems
Scalable Methods for Computing Sharp Extreme Event Probabilities in Infinite-Dimensional Stochastic Systems
Timo Schorlepp
Shanyin Tong
T. Grafke
G. Stadler
46
8
0
21 Mar 2023
Improved Bounds on Neural Complexity for Representing Piecewise Linear Functions
Improved Bounds on Neural Complexity for Representing Piecewise Linear Functions
Kuan-Lin Chen
H. Garudadri
Bhaskar D. Rao
40
20
0
13 Oct 2022
Large deviation theory-based adaptive importance sampling for rare events in high dimensions
Large deviation theory-based adaptive importance sampling for rare events in high dimensions
Shanyin Tong
G. Stadler
71
8
0
13 Sep 2022
Model predictivity assessment: incremental test-set selection and accuracy evaluation
Model predictivity assessment: incremental test-set selection and accuracy evaluation
E. Fekhari
Bertrand Iooss
Joseph Muré
L. Pronzato
M. Rendas
62
13
0
08 Jul 2022
Active learning for structural reliability: survey, general framework and benchmark
Active learning for structural reliability: survey, general framework and benchmark
M. Moustapha
S. Marelli
Bruno Sudret
AI4CE
45
160
0
03 Jun 2021
Machine Learning approach for Credit Scoring
Machine Learning approach for Credit Scoring
A. R. Provenzano
D. Trifirò
A. Datteo
L. Giada
N. Jean
A. Riciputi
Giacomo Le Pera
M. Spadaccino
L. Massaron
C. Nordio
26
21
0
20 Jul 2020
The ICSCREAM methodology: Identification of penalizing configurations in computer experiments using screening and metamodel -- Applications in thermal-hydraulics
The ICSCREAM methodology: Identification of penalizing configurations in computer experiments using screening and metamodel -- Applications in thermal-hydraulics
A. M. CEA-DES
Bertrand Iooss
V. Chabridon
35
17
0
08 Apr 2020
GAMI-Net: An Explainable Neural Network based on Generalized Additive Models with Structured Interactions
GAMI-Net: An Explainable Neural Network based on Generalized Additive Models with Structured Interactions
Zebin Yang
Aijun Zhang
Agus Sudjianto
FAtt
150
128
0
16 Mar 2020
Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks
Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks
Mahyar Fazlyab
Alexander Robey
Hamed Hassani
M. Morari
George J. Pappas
96
460
0
12 Jun 2019
Deep ReLU Networks Have Surprisingly Few Activation Patterns
Deep ReLU Networks Have Surprisingly Few Activation Patterns
Boris Hanin
David Rolnick
84
228
0
03 Jun 2019
Deep Lattice Networks and Partial Monotonic Functions
Deep Lattice Networks and Partial Monotonic Functions
Seungil You
David Ding
K. Canini
Jan Pfeifer
Maya R. Gupta
92
148
0
19 Sep 2017
Excursion and contour uncertainty regions for latent Gaussian models
Excursion and contour uncertainty regions for latent Gaussian models
David Bolin
Finn Lindgren
76
128
0
16 Nov 2012
Deep Gaussian Processes
Deep Gaussian Processes
Andreas C. Damianou
Neil D. Lawrence
GPBDL
144
1,183
0
02 Nov 2012
Reliability-based design optimization using kriging surrogates and subset simulation
Reliability-based design optimization using kriging surrogates and subset simulation
V. Dubourg
Bruno Sudret
Jean-Marc Bourinet
AI4CE
47
423
0
19 Apr 2011

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