Michael Schaarschmidt

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 18

Top Topics

Reinforcement Learning

Stochastic Gradient Descent

Top Venues

Proc. VLDB Endow.

Publications

Sami Alabed, Bart Chrzaszcz, Juliana Franco, Dominik Grewe, Dougal Maclaurin, James Molloy, Tom Natan, Tamara Norman, Xiaoyue Pan, Adam Paszke, Norman A. Rink, Michael Schaarschmidt, Timur Sitdikov, Agnieszka Swietlik, Dimitrios Vytiniotis, Joel Wee
PartIR: Composing SPMD Partitioning Strategies for Machine Learning. CoRR (2024)
Sheheryar Zaidi, Michael Schaarschmidt, James Martens, Hyunjik Kim, Yee Whye Teh, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Razvan Pascanu, Jonathan Godwin
Pre-training via Denoising for Molecular Property Prediction. ICLR (2023)
Sheheryar Zaidi, Michael Schaarschmidt, James Martens, Hyunjik Kim, Yee Whye Teh, Alvaro Sanchez-Gonzalez, Peter W. Battaglia, Razvan Pascanu, Jonathan Godwin
Pre-training via Denoising for Molecular Property Prediction. CoRR (2022)
Michael Schaarschmidt, Morgane Riviere, Alex M. Ganose, James S. Spencer, Alexander L. Gaunt, James Kirkpatrick, Simon Axelrod, Peter W. Battaglia, Jonathan Godwin
Learned Force Fields Are Ready For Ground State Catalyst Discovery. CoRR (2022)
Sami Alabed, Dominik Grewe, Juliana Franco, Bart Chrzaszcz, Tom Natan, Tamara Norman, Norman A. Rink, Dimitrios Vytiniotis, Michael Schaarschmidt
Automatic Discovery of Composite SPMD Partitioning Strategies in PartIR. CoRR (2022)
Jonathan Godwin, Michael Schaarschmidt, Alexander L. Gaunt, Alvaro Sanchez-Gonzalez, Yulia Rubanova, Petar Velickovic, James Kirkpatrick, Peter W. Battaglia
Simple GNN Regularisation for 3D Molecular Property Prediction and Beyond. ICLR (2022)
Jonathan Godwin, Michael Schaarschmidt, Alexander Gaunt, Alvaro Sanchez-Gonzalez, Yulia Rubanova, Petar Velickovic, James Kirkpatrick, Peter W. Battaglia
Very Deep Graph Neural Networks Via Noise Regularisation. CoRR (2021)
Michael Schaarschmidt, Dominik Grewe, Dimitrios Vytiniotis, Adam Paszke, Georg Stefan Schmid, Tamara Norman, James Molloy, Jonathan Godwin, Norman Alexander Rink, Vinod Nair, Dan Belov
Automap: Towards Ergonomic Automated Parallelism for ML Models. CoRR (2021)
Jonathan Bassen, Bharathan Balaji, Michael Schaarschmidt, Candace Thille, Jay Painter, Dawn Zimmaro, Alex Games, Ethan Fast, John C. Mitchell
Reinforcement Learning for the Adaptive Scheduling of Educational Activities. CHI (2020)
Jeremy Welborn, Michael Schaarschmidt, Eiko Yoneki
Learning Index Selection with Structured Action Spaces. CoRR (2019)
Michael Schaarschmidt, Kai Fricke, Eiko Yoneki
Wield: Systematic Reinforcement Learning With Progressive Randomization. CoRR (2019)
Michael Schaarschmidt, Sven Mika, Kai Fricke, Eiko Yoneki
RLgraph: Modular Computation Graphs for Deep Reinforcement Learning. MLSys (2019)
Michael Schaarschmidt, Sven Mika, Kai Fricke, Eiko Yoneki
RLgraph: Flexible Computation Graphs for Deep Reinforcement Learning. CoRR (2018)
Michael Schaarschmidt, Alexander Kuhnle, Ben Ellis, Kai Fricke, Felix Gessert, Eiko Yoneki
LIFT: Reinforcement Learning in Computer Systems by Learning From Demonstrations. CoRR (2018)
Valentin Dalibard, Michael Schaarschmidt, Eiko Yoneki
BOAT: Building Auto-Tuners with Structured Bayesian Optimization. WWW (2017)
Felix Gessert, Michael Schaarschmidt, Wolfram Wingerath, Erik Witt, Eiko Yoneki, Norbert Ritter
Quaestor: Query Web Caching for Database-as-a-Service Providers. Proc. VLDB Endow. 10 (12) (2017)
Valentin Dalibard, Michael Schaarschmidt, Eiko Yoneki
Tuning the Scheduling of Distributed Stochastic Gradient Descent with Bayesian Optimization. CoRR (2016)
Michael Schaarschmidt, Felix Gessert, Valentin Dalibard, Eiko Yoneki
Learning Runtime Parameters in Computer Systems with Delayed Experience Injection. CoRR (2016)
Felix Gessert, Michael Schaarschmidt, Wolfram Wingerath, Steffen Friedrich, Norbert Ritter
The Cache Sketch: Revisiting Expiration-based Caching in the Age of Cloud Data Management. BTW (2015)
Michael Schaarschmidt, Felix Gessert, Norbert Ritter
Towards Automated Polyglot Persistence. BTW (2015)
Felix Gessert, Steffen Friedrich, Wolfram Wingerath, Michael Schaarschmidt, Norbert Ritter
Towards a Scalable and Unified REST API for Cloud Data Stores. GI-Jahrestagung (2014)
Wolf Zimmermann, Michael Schaarschmidt
Automatic Checking of Component Protocols in Component-Based Systems. SC@ETAPS (2006)