Eric Jonas

16 papers A* 1A 2C 1Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2020 — conf
Serverless linear algebra.
SoCC
Vaishaal Shankar, Karl Krauth, Kailas Vodrahalli, Qifan Pu, Benjamin Recht, Ion Stoica, Jonathan Ragan-Kelley, Eric Jonas, Shivaram Venkataraman
2019 J jnl
Ambitious Data Science Can Be Painless.
CoRR
Hatef Monajemi, Riccardo Murri, Eric Jonas, Percy Liang, Victoria Stodden, David L. Donoho
2019 J jnl
Cloud Programming Simplified: A Berkeley View on Serverless Computing.
CoRR
Eric Jonas, Johann Schleier-Smith, Vikram Sreekanti, Chia-Che Tsai, Anurag Khandelwal, Qifan Pu, Vaishaal Shankar, João Carreira, Karl Krauth, Neeraja Jayant Yadwadkar, Joseph E. Gonzalez, Raluca Ada Popa, Ion Stoica, David A. Patterson
2019 A* conf
Deep imitation learning for molecular inverse problems.
NeurIPS
Eric Jonas
2019 J jnl
Rapid prediction of NMR spectral properties with quantified uncertainty.
J. Cheminformatics
Eric Jonas, Stefan Kuhn
2018 J jnl
numpywren: serverless linear algebra.
CoRR
Vaishaal Shankar, Karl Krauth, Qifan Pu, Eric Jonas, Shivaram Venkataraman, Ion Stoica, Benjamin Recht, Jonathan Ragan-Kelley
2017 J jnl
Could a Neuroscientist Understand a Microprocessor?
PLoS Comput. Biol.
Eric Jonas, Konrad Paul Körding
2017 J jnl
Flare Prediction Using Photospheric and Coronal Image Data.
CoRR
Eric Jonas, Monica G. Bobra, Vaishaal Shankar, J. Todd Hoeksema, Benjamin Recht
2017 J jnl
Occupy the Cloud: Distributed Computing for the 99%.
CoRR
Eric Jonas, Shivaram Venkataraman, Ion Stoica, Benjamin Recht
2017 — conf
Occupy the cloud: distributed computing for the 99%.
SoCC
Eric Jonas, Qifan Pu, Shivaram Venkataraman, Ion Stoica, Benjamin Recht
2016 J jnl
CrossCat: A Fully Bayesian Nonparametric Method for Analyzing Heterogeneous, High Dimensional Data.
J. Mach. Learn. Res.
Vikash Mansinghka, Patrick Shafto, Eric Jonas, Cap Petschulat, Max Gasner, Joshua B. Tenenbaum
2016 C conf
Towards Machine Learning on the Automata Processor.
ISC
Tommy Tracy II, Yao Fu, Indranil Roy, Eric Jonas, Paul Glendenning
2015 J jnl
CrossCat: A Fully Bayesian Nonparametric Method for Analyzing Heterogeneous, High Dimensional Data.
CoRR
Vikash Mansinghka, Patrick Shafto, Eric Jonas, Cap Petschulat, Max Gasner, Joshua B. Tenenbaum
2014 J jnl
Building fast Bayesian computing machines out of intentionally stochastic, digital parts.
CoRR
Vikash Mansinghka, Eric Jonas
2014 A conf
Scaling Nonparametric Bayesian Inference via Subsample-Annealing.
AISTATS
Fritz Obermeyer, Jonathan Glidden, Eric Jonas
2009 A conf
Exact and Approximate Sampling by Systematic Stochastic Search.
AISTATS
Vikash Mansinghka, Daniel M. Roy, Eric Jonas, Joshua B. Tenenbaum