Takip et
Karl Krauth
Karl Krauth
Postdoc, Stanford
stanford.edu üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models
A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ...
Transaction on Machine Learning Research, 2022
13912022
Cloud programming simplified: A berkeley view on serverless computing
E Jonas, J Schleier-Smith, V Sreekanti, CC Tsai, A Khandelwal, Q Pu, ...
arXiv preprint arXiv:1902.03383, 2019
9412019
Serverless linear algebra
V Shankar, K Krauth, K Vodrahalli, Q Pu, B Recht, I Stoica, ...
Proceedings of the 11th ACM Symposium on Cloud Computing, 281-295, 2020
1872020
The Effect of Natural Distribution Shift on Question Answering Models
J Miller, K Krauth, B Recht, L Schmidt
International Conference on Machine Learning, 2020
1802020
AutoGP: Exploring the capabilities and limitations of Gaussian process models
K Krauth, EV Bonilla, K Cutajar, M Filippone
Conference for Uncertainty in Artificial intelligence (UAI), 2017
672017
Finite-time analysis of approximate policy iteration for the linear quadratic regulator
K Krauth, S Tu, B Recht
Advances in Neural Information Processing Systems, 2019
652019
Do offline metrics predict online performance in recommender systems?
K Krauth, S Dean, A Zhao, W Guo, M Curmei, B Recht, MI Jordan
NeurIPS Workshop on Consequential Decisions in Dynamic Environments, 2020
462020
Modeling content creator incentives on algorithm-curated platforms
J Hron, K Krauth, MI Jordan, N Kilbertus, S Dean
International Conference on Learning Representations, 2023
412023
On component interactions in two-stage recommender systems
J Hron, K Krauth, MI Jordan, N Kilbertus
Advances in Neural Information Processing Systems, 2021
382021
Generic inference in latent Gaussian process models
EV Bonilla, K Krauth, A Dezfouli
Journal of Machine Learning Research 20 (117), 1-63, 2019
292019
Breaking feedback loops in recommender systems with causal inference
K Krauth, Y Wang, MI Jordan
arXiv preprint arXiv:2207.01616, 2022
242022
Design automation of microfluidic single and double emulsion droplets with machine learning
A Lashkaripour, DP McIntyre, SGK Calhoun, K Krauth, DM Densmore, ...
Nature Communications 15 (1), 83, 2024
212024
The Stereotyping Problem in Collaboratively Filtered Recommender Systems
W Guo, K Krauth, MI Jordan, N Garg
ACM Conference on Equity and Access in Algorithms, Mechanisms, and …, 2021
202021
Recommendation systems with distribution-free reliability guarantees
AN Angelopoulos, K Krauth, S Bates, Y Wang, MI Jordan
Conformal and Probabilistic Prediction with Applications, 175-193, 2023
192023
Exploration in two-stage recommender systems
J Hron, K Krauth, MI Jordan, N Kilbertus
ACM RecSys Workshop on Bandit and Reinforcement Learning from User Interactions, 2020
132020
The dynamics of recommender systems
KM Krauth
University of California, Berkeley, 2022
12022
Sistem, işlemi şu anda gerçekleştiremiyor. Daha sonra yeniden deneyin.
Makaleler 1–16