156 citations
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4 papers · 1 filter
Forecast Hedging and Calibration
Dean P. Foster, Sergiu Hart
Calibration means that forecasts and average realized frequencies are close. We develop the concept of forecast hedging, which consists of choosing the forecasts so as to guarantee…
B2RL: An open-source Dataset for Building Batch Reinforcement Learning
Hsin-Yu Liu, Xiaohan Fu, Bharathan Balaji +2
Batch reinforcement learning (BRL) is an emerging research area in the RL community. It learns exclusively from static datasets (i.e. replay buffers) without interaction with the e…
Intrinsic Dimensionality Estimation within Tight Localities: A Theoretical and Experimental Analysis
Laurent Amsaleg, Oussama Chelly, Michael E. Houle +3
Accurate estimation of Intrinsic Dimensionality (ID) is of crucial importance in many data mining and machine learning tasks, including dimensionality reduction, outlier detection,…
GROMACS in the cloud: A global supercomputer to speed up alchemical drug design
Carsten Kutzner, Christian Kniep, Austin Cherian +4
We assess costs and efficiency of state-of-the-art high performance cloud computing compared to a traditional on-premises compute cluster. Our use case are atomistic simulations ca…