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Workshop
Meta-Adaptive Stock Movement Prediction with Two-Stage Representation Learning
Donglin Zhan · Yusheng Dai · Yiwei Dong · Jinghai He · Zhenyi Wang · James Anderson
Poster
Wed 9:00 Scalable and Efficient Non-adaptive Deterministic Group Testing
Dariusz Kowalski · Dominik Pajak
Workshop
Fri 9:00 Learning Absorption Rates in Glucose-Insulin Dynamics from Meal Covariates
Ke Alexander Wang · Matthew Levine · Jiaxin Shi · Emily Fox
Workshop
Fri 9:30 Learning Absorption Rates in Glucose-Insulin Dynamics from Meal Covariates
Ke Alexander Wang · Matthew Levine · Jiaxin Shi · Emily Fox
Poster
Tue 9:00 Fast Instrument Learning with Faster Rates
Ziyu Wang · Yuhao Zhou · Jun Zhu
Workshop
On Rate-Distortion Theory in Capacity-Limited Cognition & Reinforcement Learning
Dilip Arumugam · Mark Ho · Noah Goodman · Benjamin Van Roy
Poster
Tue 14:00 Universal Rates for Interactive Learning
Steve Hanneke · Amin Karbasi · Shay Moran · Grigoris Velegkas
Workshop
Fast Benchmarking of Accuracy vs. Training Time with Cyclic Learning Rates
Jacob Portes · Davis Blalock · Cory Stephenson · Jonathan Frankle
Poster
Wed 9:00 Beyond spectral gap: the role of the topology in decentralized learning
Thijs Vogels · Hadrien Hendrikx · Martin Jaggi
Poster
Wed 9:00 ASPiRe: Adaptive Skill Priors for Reinforcement Learning
Mengda Xu · Manuela Veloso · Shuran Song
Poster
Tue 9:00 Depth is More Powerful than Width with Prediction Concatenation in Deep Forest
Shen-Huan Lyu · Yi-Xiao He · Zhi-Hua Zhou
Poster
Tue 9:00 Rate-Distortion Theoretic Bounds on Generalization Error for Distributed Learning
Milad Sefidgaran · Romain Chor · Abdellatif Zaidi