Karl Krauth
Stanford University(US)
Publications by Year
Research Areas
Advanced Bandit Algorithms Research, Recommender Systems and Techniques, Gaussian Processes and Bayesian Inference, Cloud Computing and Resource Management, Stochastic Gradient Optimization Techniques
Most-Cited Works
- → Cloud Programming Simplified: A Berkeley View on Serverless Computing(2019)420 cited
- → Serverless linear algebra(2020)91 cited
- → numpywren: serverless linear algebra(2018)67 cited
- AutoGP: Exploring the Capabilities and Limitations of Gaussian Process Models(2016)
- → Finite-time Analysis of Approximate Policy Iteration for the Linear Quadratic Regulator(2019)22 cited
- → The Effect of Natural Distribution Shift on Question Answering Models(2020)22 cited
- → Generic Inference in Latent Gaussian Process Models(2016)12 cited
- → The Stereotyping Problem in Collaboratively Filtered Recommender Systems(2021)12 cited