Talks

2023

Aligning Machine Learning, Law, and Policy for Responsible Real-World Deployments
Feb 6, 2023 10:00 AM
Aligning Machine Learning, Law, and Policy for Responsible Real-World Deployments
Jan 25, 2023 4:30 PM
Aligning Machine Learning, Law, and Policy for Responsible Real-World Deployments
Jan 23, 2023 10:30 AM

2022

Reinforcement Learning and Public Policy
Oct 18, 2022 2:50 PM
Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset
Aug 23, 2022 10:00 AM
Panel: Environmental AI Technology & ESG Regulations
Jul 25, 2022 10:50 AM
Safety Considerations and Broader Implications for Governmental Uses of AI
Jul 12, 2022 2:30 PM
Integrating Reward Maximization and Population Estimation: Sequential Decision-Making for Internal Revenue Service Audit Selection
Jun 16, 2022 9:30 AM
Reinforcement Learning and Public Policy
Feb 17, 2022 1:30 PM

2021

Vulnerabilities in Discovery Tech
Dec 15, 2021 11:10 AM
Machine Learning Carbon Footprints
Oct 28, 2021 4:20 PM

2020

How blockers can turn into a paper: A retrospective on 'Towards The Systematic Reporting of the Energy and Carbon Footprints of Machine Learning'
Jul 17, 2020 4:00 PM

2019

Separating Value Functions Across Time-scales
Aug 14, 2019 10:00 AM
Panel: What Are the Key Obstacles Preventing the Progression and Application of Deep RL in Industry?
Jun 20, 2019 4:20 PM

2018

Distilling Information from a Flood: A Possibility for the Use of Meta-Analysis and Systematic Review in Machine Learning Research
Dec 7, 2018 2:40 PM
Benchmarking and Evaluation in Inverse Reinforcement Learning
Jun 29, 2018 3:00 PM
Reproducibility and Replicability in Deep Reinforcement Learning (and Other Deep Learning Methods)
Jun 5, 2018 10:50 AM
Ethical Challenges in Data-Driven Dialogue Systems
Feb 3, 2018 10:15 AM

2017

Show Me the Data! On the Reproducibility of Policy Gradient Methods for Continuous Control
Jul 4, 2017 4:30 PM
Practical Tutorial on Policy Gradients for Continuous Control
Jul 3, 2017 4:30 PM