おすすめツイート
I know some of these amazing researchers through collaboration and some are colleagues or former colleagues, but all are great researchers (at all different stages of their careers) in the field of reinforcement learning. 🎉
Really nice initiative by @ben_eysenbach , who prepared these posters (hung around @RL_Conference ) of notable women in RL !
📢 We are organizing the Deployable RL Workshop at @RL_Conference 2024! RL is studied in many settings, but the majority of such solutions are 𝑛𝑜𝑡 eventually deployed. Our workshop seeks to understand why. 📅 Deadline: May 8 Speakers & schedule: deployable-rl.github.io
🔨🤖 How RL is currently deployed? How RL will be applied in the future? What are the challenges we need to resolve? 🤖🔨 Join us in the Deployable RL workshop @RL_Conference in picturesque Amherst to explore these questions
Excited to speak in a session at JSM tomorrow on adaptive experimentation with @eytan, @JohnCLangford, @kgjamieson, @josephjwilliams, @SofiaSVillar1, @DeliuNina, @ianws0, Aaditya Ramdas & Tong Li. Will include a panel discussion on the future of this area! tinyurl.com/mu6xxxdn
Congrats to @kewzha on starting her postdoc at Columbia Business School today! We will miss you, Kelly!!
Postdoc Kelly W. Zhang shares her work developing stats methods for mobile health apps and her tips for young scholars in a recent interview. Read more here: statistics.fas.harvard.edu/news/postdocto…
Grad student @kewzha is among the #SiebelScholars Class of 2023! A very well deserved honor—congratulations, Kelly!! bwnews.pr/3r1odZU
Really excited to do this Harvard Radcliffe Institute program with @mk_nock on Ethical Considerations in the Use of Big Data, AI and Real-Time Information for Prediction of Behavioral Health Outcomes news.harvard.edu/gazette/story/… via @Harvard
Very excited about grad student @kewzha’s invited session “Inference Methods for Adaptively Collected Data” at the IMS 2022 Annual Meeting!! Speakers will be Kelly, @nathankallus, Stefan Wager, and Koulik Khamaru. See imsannualmeeting-london2022.com/invited-sessio…
Excited to be co-organizing the NeurIPS 2021 Workshop on Causal Inference Challenges in Sequential Decision Making happening Dec 14 online. Please consider submitting contributions. CfP on website. Due date 9/30. sites.google.com/view/causal-se…
Thank you @kewzha for a brilliantly delivered seminar at @MRC_BSU. For anyone that missed it here is a video 👇
Thanks to Kelly Zhang @Harvard for giving a virtual seminar on 'Statistical Inference on Bandit Data’. You can watch the recording here. youtube.com/watch?v=jflR7K…
youtube.com
YouTube
BSU Seminar: ‘Statistical Inference on Bandit Data’
The Machine Learning for Mobile Health Workshop at #NeurIPS2020 (Saturday 12/12) has a new 10/16 deadline for extended abstracts. Come join the discussion! See sites.google.com/view/ml4mobile…
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