[MINI] Bayesian Updating

Karthick Shankar, Masters Student at Carnegie Mellon University, and Somali Chaterji, Assistant Professor at Purdue University, join us today to discuss the paper "JANUS: Benchmarking Commercial and Open-Source Cloud and Edge Platforms for Object and Anomaly Detection Workloads" Works Mentioned: https://ieeexplore.ieee.org/abstract/document/9284314 "JANUS: Benchmarking Commercial and Open-Source Cloud and Edge Platforms for Object and Anomaly Detection Workloads." by: Karthick Shankar, Pengcheng Wang, Ran Xu, Ashraf Mahgoub, Somali ChaterjiSocial Media Karthick Shankar https://twitter.com/karthick_sh Somali Chaterji https://twitter.com/somalichaterji?lang=en https://schaterji.io/

15 Maalis 202147min

Hal Ashton, a PhD student from the University College of London, joins us today to discuss a recent work Causal Campbell-Goodhart's law and Reinforcement Learning. "Only buy honey from a local producer." - Hal Ashton Works Mentioned: "Causal Campbell-Goodhart's law and Reinforcement Learning"by Hal AshtonBook "The Book of Why"by Judea PearlPaper Thanks to our sponsor! When your business is ready to make that next hire, find the right person with LinkedIn Jobs. Just visit LinkedIn.com/DATASKEPTIC to post a job for free! Terms and conditions apply

5 Maalis 202137min

Yuqi Ouyang, in his second year of PhD study at the University of Warwick in England, joins us today to discuss his work "Video Anomaly Detection by Estimating Likelihood of Representations."Works Mentioned: Video Anomaly Detection by Estimating Likelihood of Representations https://arxiv.org/abs/2012.01468 by: Yuqi Ouyang, Victor Sanchez

1 Maalis 202124min

Nirupam Gupta, a Computer Science Post Doctoral Researcher at EDFL University in Switzerland, joins us today to discuss his work "Byzantine Fault-Tolerance in Peer-to-Peer Distributed Gradient-Descent." Works Mentioned: https://arxiv.org/abs/2101.12316 Byzantine Fault-Tolerance in Peer-to-Peer Distributed Gradient-Descent by Nirupam Gupta and Nitin H. Vaidya Conference Details: https://georgetown.zoom.us/meeting/register/tJ0sc-2grDwjEtfnLI0zPnN-GwkDvJdaOxXF

22 Helmi 202136min

Mikko Lauri, Post Doctoral researcher at the University of Hamburg, Germany, comes on the show today to discuss the work Information Gathering in Decentralized POMDPs by Policy Graph Improvements. Follow Mikko: @mikko_lauri Github https://laurimi.github.io/

15 Helmi 202132min

Balaji Arun, a PhD Student in the Systems of Software Research Group at Virginia Tech, joins us today to discuss his research of distributed systems through the paper "Taming the Contention in Consensus-based Distributed Systems." Works Mentioned "Taming the Contention in Consensus-based Distributed Systems" by Balaji Arun, Sebastiano Peluso, Roberto Palmieri, Giuliano Losa, and Binoy Ravindranhttps://www.ssrg.ece.vt.edu/papers/tdsc20-author-version.pdf "Fast Paxos" by Leslie Lamport https://link.springer.com/article/10.1007/s00446-006-0005-x

5 Helmi 202127min

Maartje ter Hoeve, PhD Student at the University of Amsterdam, joins us today to discuss her research in automated summarization through the paper "What Makes a Good Summary? Reconsidering the Focus of Automatic Summarization." Works Mentioned "What Makes a Good Summary? Reconsidering the Focus of Automatic Summarization." by Maartje der Hoeve, Juilia Kiseleva, and Maarten de Rijke Contact Email: m.a.terhoeve@uva.nl Twitter: https://twitter.com/maartjeterhoeve Website: https://maartjeth.github.io/#get-in-touch

29 Tammi 202127min

Brian Brubach, Assistant Professor in the Computer Science Department at Wellesley College, joins us today to discuss his work "Meddling Metrics: the Effects of Measuring and Constraining Partisan Gerrymandering on Voter Incentives". WORKS MENTIONED: Meddling Metrics: the Effects of Measuring and Constraining Partisan Gerrymandering on Voter Incentives by Brian Brubach, Aravind Srinivasan, and Shawn Zhao

22 Tammi 202134min