Preparing for Black Swans: The Antifragility Imperative for Machine Learning

18 May 2024

Papers citing "Preparing for Black Swans: The Antifragility Imperative for Machine Learning"

5 / 5 papers shown

Title
A Survey on Causal Reinforcement Learning Yan Zeng Ruichu Cai Fuchun Sun Libo Huang Z. Hao CML 26 25 0 10 Feb 2023
A Review of Safe Reinforcement Learning: Methods, Theory and Applications Shangding Gu Longyu Yang Yali Du Guang Chen Florian Walter Jun Wang Alois C. Knoll OffRL AI4TS 108 231 0 20 May 2022
Unsolved Problems in ML Safety Dan Hendrycks Nicholas Carlini John Schulman Jacob Steinhardt 164 268 0 28 Sep 2021
Optimal Dynamic Regret in Exp-Concave Online Learning Dheeraj Baby Yu-Xiang Wang 35 43 0 23 Apr 2021
Quality-Diversity Optimization: a novel branch of stochastic optimization Konstantinos Chatzilygeroudis Antoine Cully Vassilis Vassiliades Jean-Baptiste Mouret 58 91 0 08 Dec 2020