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10/05/2021
Coarsening Optimization for Differentiable Programming
This paper presents a novel optimization for differentiable programming ...
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06/17/2021
Localized Uncertainty Attacks
The susceptibility of deep learning models to adversarial perturbations ...
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10/26/2020
What It Would Take to Use Mutation Testing in Industry–A Study at Facebook
Traditionally, mutation testing generates an abundance of small deviatio...
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10/23/2020
Accelerating Metropolis-Hastings with Lightweight Inference Compilation
In order to construct accurate proposers for Metropolis-Hastings Markov ...
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10/17/2020
PPL Bench: Evaluation Framework For Probabilistic Programming Languages
We introduce PPL Bench, a new benchmark for evaluating Probabilistic Pro...
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04/15/2020
Ownership at Large – Open Problems and Challenges in Ownership Management
Software-intensive organizations rely on large numbers of software asset...
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04/11/2020
WES: Agent-based User Interaction Simulation on Real Infrastructure
We introduce the Web-Enabled Simulation (WES) research agenda, and descr...
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01/15/2020
Newtonian Monte Carlo: single-site MCMC meets second-order gradient methods
Single-site Markov Chain Monte Carlo (MCMC) is a variant of MCMC in whic...
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09/29/2019
Gradient Descent: The Ultimate Optimizer
Working with any gradient-based machine learning algorithm involves the ...
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03/29/2019