Johan Jonasson

According to our database1, Johan Jonasson authored at least 13 papers between 1998 and 2023.

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Bibliography

2023
Elastic Gradient Descent, an Iterative Optimization Method Approximating the Solution Paths of the Elastic Net.
J. Mach. Learn. Res., 2023

Noise Sensitivity and Stability of Deep Neural Networks for Binary Classification.
CoRR, 2023

2021
Robust Neural Network Classification via Double Regularization.
CoRR, 2021

Rapid mixing in unimodal landscapes and efficient simulatedannealing for multimodal distributions.
CoRR, 2021

2020
Leave-One-Out Cross-Validation for Bayesian Model Comparison in Large Data.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Optimal sampling in unbiased active learning.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Bayesian leave-one-out cross-validation for large data.
Proceedings of the 36th International Conference on Machine Learning, 2019

2017
Slow mixing for Latent Dirichlet allocation.
CoRR, 2017

2007
Positive Influence and Negative Dependence.
Comb. Probab. Comput., 2007

2000
Percolation in a dependent random environment.
Random Struct. Algorithms, 2000

Lollipop graphs are extremal for commute times.
Random Struct. Algorithms, 2000

An upper bound on the cover time for powers of graphs.
Discret. Math., 2000

1998
On the Cover Time for Random Walks on Random Graphs.
Comb. Probab. Comput., 1998


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