Sotabase

Career

· Postdoctoral Researcher, Stanford University2022–
· PhD in Computer Science, UC Berkeley

Publications (31)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
arXiv.org · 2022
2,201
cited
Cloud Programming Simplified: A Berkeley View on Serverless Computing
arXiv.org · 2019
785
cited
The Effect of Natural Distribution Shift on Question Answering Models
International Conference on Machine Learning · 2020
154
cited
Replacement of secondary clarification by membrane separation — Results with plate and hollow fibre modules
1998
118
cited
Numpywren: Serverless Linear Algebra
arXiv.org · 2018
114
cited
Serverless linear algebra
ACM Symposium on Cloud Computing · 2020
112
cited
The pollution of effluents from pervious pavements of an experimental highway section: first results
1994
81
cited
Finite-time Analysis of Approximate Policy Iteration for the Linear Quadratic Regulator
Neural Information Processing Systems · 2019
68
cited
AutoGP: Exploring the Capabilities and Limitations of Gaussian Process Models
Conference on Uncertainty in Artificial Intelligence · 2016
56
cited
Release of nitrous oxide (N2O) from denitrifying activated sludge caused by H2S-containing wastewater: Quantification and application of a new mathematical model
1998
56
cited
Design automation of microfluidic single and double emulsion droplets with machine learning
bioRxiv · 2023
55
cited
Population dynamics in anaerobic wastewater reactors: modelling and in situ characterization
1999
53
cited
Modeling Content Creator Incentives on Algorithm-Curated Platforms
International Conference on Learning Representations · 2022
49
cited
Do Offline Metrics Predict Online Performance in Recommender Systems?
arXiv.org · 2020
47
cited
Mass transfer of carbon dioxide in anaerobic reactors under dynamic substrate loading conditions
1999
39
cited
On component interactions in two-stage recommender systems
Neural Information Processing Systems · 2021
35
cited
Generic Inference in Latent Gaussian Process Models
Journal of machine learning research · 2016
29
cited
New strategies for estimating kinetic parameters in anaerobic wastewater treatment plants
1996
29
cited
Breaking Feedback Loops in Recommender Systems with Causal Inference
Trans. Recomm. Syst. · 2022
27
cited
The Stereotyping Problem in Collaboratively Filtered Recommender Systems
Conference on Equity and Access in Algorithms, Mechanisms, and Optimization · 2021
17
cited
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Karl Krauth | Researcher Profile | Sotabase | Sotabase