Sören Mindermann | DeepAI

DeepAI AI Chat

Featured Co-authors

Yarin Gal
126 publications
Yee Whye Teh
122 publications
Dylan Hadfield-Menell
38 publications
Uri Shalit
29 publications
Sebastian Farquhar
24 publications
Andreas Kirsch
17 publications
Rohin Shah
17 publications
Aidan N. Gomez
16 publications
Adam Gleave
16 publications
Andrew Jesson
15 publications
Stuart Armstrong
12 publications

∙ 06/14/2022

Prioritized Training on Points that are Learnable, Worth Learning, and Not Yet Learnt

Training on web-scale data can take months. But most computation and tim...

12 Sören Mindermann, et al. ∙

∙ 07/06/2021

Prioritized training on points that are learnable, worth learning, and not yet learned

We introduce Goldilocks Selection, a technique for faster model training...

5 Sören Mindermann, et al. ∙

∙ 03/08/2021

Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding

We study the problem of learning conditional average treatment effects (...

0 Andrew Jesson, et al. ∙

∙ 07/27/2020

On the robustness of effectiveness estimation of nonpharmaceutical interventions against COVID-19 transmission

There remains much uncertainty about the relative effectiveness of diffe...

4 Mrinank Sharma, et al. ∙

∙ 07/01/2020

Identifying Causal Effect Inference Failure with Uncertainty-Aware Models

Recommending the best course of action for an individual is a major appl...

5 Andrew Jesson, et al. ∙

∙ 09/09/2018

Active Inverse Reward Design

Reward design, the problem of selecting an appropriate reward function f...

0 Sören Mindermann, et al. ∙

∙ 12/15/2017

Impossibility of deducing preferences and rationality from human policy

Inverse reinforcement learning (IRL) attempts to infer human rewards or ...

0 Stuart Armstrong, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world