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2020 – today
- 2021
[c6]Wenshuo Guo, Karl Krauth, Michael I. Jordan, Nikhil Garg:
The Stereotyping Problem in Collaboratively Filtered Recommender Systems. EAAMO 2021: 6:1-6:10- [c5]Jiri Hron, Karl Krauth, Michael I. Jordan, Niki Kilbertus:
On Component Interactions in Two-Stage Recommender Systems. NeurIPS 2021: 2744-2757 - [i8]Wenshuo Guo, Karl Krauth, Michael I. Jordan, Nikhil Garg:
The Stereotyping Problem in Collaboratively Filtered Recommender Systems. CoRR abs/2106.12622 (2021) - [i7]Jiri Hron, Karl Krauth, Michael I. Jordan, Niki Kilbertus:
On component interactions in two-stage recommender systems. CoRR abs/2106.14979 (2021) - 2020
- [c4]Vaishaal Shankar, Karl Krauth, Kailas Vodrahalli, Qifan Pu, Benjamin Recht, Ion Stoica, Jonathan Ragan-Kelley, Eric Jonas, Shivaram Venkataraman:
Serverless linear algebra. SoCC 2020: 281-295 - [c3]John Miller, Karl Krauth, Benjamin Recht, Ludwig Schmidt:
The Effect of Natural Distribution Shift on Question Answering Models. ICML 2020: 6905-6916 - [i6]John Miller, Karl Krauth, Benjamin Recht, Ludwig Schmidt:
The Effect of Natural Distribution Shift on Question Answering Models. CoRR abs/2004.14444 (2020) - [i5]Jiri Hron, Karl Krauth, Michael I. Jordan, Niki Kilbertus:
Exploration in two-stage recommender systems. CoRR abs/2009.08956 (2020) - [i4]Karl Krauth, Sarah Dean, Alex Zhao, Wenshuo Guo, Mihaela Curmei, Benjamin Recht, Michael I. Jordan:
Do Offline Metrics Predict Online Performance in Recommender Systems? CoRR abs/2011.07931 (2020)
2010 – 2019
- 2019
- [j1]Edwin V. Bonilla, Karl Krauth, Amir Dezfouli:
Generic Inference in Latent Gaussian Process Models. J. Mach. Learn. Res. 20: 117:1-117:63 (2019) - [c2]Karl Krauth, Stephen Tu, Benjamin Recht:
Finite-time Analysis of Approximate Policy Iteration for the Linear Quadratic Regulator. NeurIPS 2019: 8512-8522 - [i3]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:
Cloud Programming Simplified: A Berkeley View on Serverless Computing. CoRR abs/1902.03383 (2019) - [i2]Karl Krauth, Stephen Tu, Benjamin Recht:
Finite-time Analysis of Approximate Policy Iteration for the Linear Quadratic Regulator. CoRR abs/1905.12842 (2019) - 2018
- [i1]Vaishaal Shankar, Karl Krauth, Qifan Pu, Eric Jonas, Shivaram Venkataraman, Ion Stoica, Benjamin Recht, Jonathan Ragan-Kelley:
numpywren: serverless linear algebra. CoRR abs/1810.09679 (2018) - 2017
- [c1]Karl Krauth, Edwin V. Bonilla, Kurt Cutajar, Maurizio Filippone:
AutoGP: Exploring the Capabilities and Limitations of Gaussian Process Models. UAI 2017
Coauthor Index
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