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05/23/2023
Expressive Losses for Verified Robustness via Convex Combinations
In order to train networks for verified adversarial robustness, previous...
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06/29/2022
IBP Regularization for Verified Adversarial Robustness via Branch-and-Bound
Recent works have tried to increase the verifiability of adversarially t...
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01/11/2022
In Defense of the Unitary Scalarization for Deep Multi-Task Learning
Recent multi-task learning research argues against unitary scalarization...
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04/14/2021
Improved Branch and Bound for Neural Network Verification via Lagrangian Decomposition
We improve the scalability of Branch and Bound (BaB) algorithms for form...
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01/14/2021
Scaling the Convex Barrier with Active Sets
Tight and efficient neural network bounding is of critical importance fo...
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02/24/2020
Lagrangian Decomposition for Neural Network Verification
A fundamental component of neural network verification is the computatio...
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03/22/2019
Sampling Acquisition Functions for Batch Bayesian Optimization
This paper presents Acquisition Thompson Sampling (ATS), a novel algorit...
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09/12/2018
