Recent & Upcoming Talks

Presented our Deep Adaptive Design (DAD) method at the Un-Conference track of the OxML summer school.

Review of the paper “Nonmyopic Multifidelity Active Search” by Nguyen et al. (2021), which introduces the MF-ENS algorithm.

Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design (with A. Foster, I. Malik and T. Rainforth), long presentation at ICML 2021, Bayesian Learning 1 session.

Discussion of our recent paper Deep Adaptive Design (with A. Foster, I. Malik and T. Rainforth).

Review of the paper “Playing Atari with Deep Reinforcement Learning” by Mnih et al (2013) which introduced deep Q-networks (DQN).