Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

How Many Pretraining Tasks Are Needed for In-Context Learning of Linear Regression?

J. Wu, D. Zou, Z. Chen, V. Braverman, Q. Gu, and P. Bartlett. CoRR, (2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Sigrun H Braverman

Vladimir Legradi

Vladimir Spasitsch

Vladimir Oreskovic

Vladimir Milutinovi

Other publications of authors with the same name

QPipe: quantiles sketch fully in the data plane.N. Ivkin, Z. Yu, V. Braverman, and X. Jin. CoNEXT, page 285-291. ACM, (2019)Near-Optimal Entrywise Sampling of Numerically Sparse Matrices.V. Braverman, R. Krauthgamer, A. Krishnan, and S. Sapir. CoRR, (2020)Near Optimal Linear Algebra in the Online and Sliding Window Models.V. Braverman, P. Drineas, C. Musco, C. Musco, J. Upadhyay, D. Woodruff, and S. Zhou. FOCS, page 517-528. IEEE, (2020)Lower Bounds for Pseudo-Deterministic Counting in a Stream.V. Braverman, R. Krauthgamer, A. Krishnan, and S. Sapir. ICALP, volume 261 of LIPIcs, page 30:1-30:14. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2023)Selective experience replay compression using coresets for lifelong deep reinforcement learning in medical imaging.G. Zheng, S. Zhou, V. Braverman, M. Jacobs, and V. Parekh. MIDL, volume 227 of Proceedings of Machine Learning Research, page 1751-1764. PMLR, (2023)Understanding the Micro-Behaviors of Hardware Offloaded Network Stacks with Lumina.Z. Yu, B. Su, W. Bai, S. Raindel, V. Braverman, and X. Jin. SIGCOMM, page 1074-1087. ACM, (2023)Adversarial Robustness of Streaming Algorithms through Importance Sampling.V. Braverman, A. Hassidim, Y. Matias, M. Schain, S. Silwal, and S. Zhou. NeurIPS, page 3544-3557. (2021)Accommodating Picky Customers: Regret Bound and Exploration Complexity for Multi-Objective Reinforcement Learning.J. Wu, V. Braverman, and L. Yang. NeurIPS, page 13112-13124. (2021)Risk Bounds of Multi-Pass SGD for Least Squares in the Interpolation Regime.D. Zou, J. Wu, V. Braverman, Q. Gu, and S. Kakade. NeurIPS, (2022)Symmetric Norm Estimation and Regression on Sliding Windows.V. Braverman, V. Wei, and S. Zhou. COCOON, volume 13025 of Lecture Notes in Computer Science, page 528-539. Springer, (2021)

BibSonomy

Disambiguation of "Braverman, Vladimir"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

How Many Pretraining Tasks Are Needed for In-Context Learning of Linear Regression?

Please choose a person to relate this publication to

Sigrun H Braverman

Vladimir Legradi

Vladimir Spasitsch

Vladimir Oreskovic

Vladimir Milutinovi

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Braverman, Vladimir"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML How Many Pretraining Tasks Are Needed for In-Context Learning of Linear Regression?

Please choose a person to relate this publication to

Sigrun H Braverman

Vladimir Legradi

Vladimir Spasitsch

Vladimir Oreskovic

Vladimir Milutinovi

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

How Many Pretraining Tasks Are Needed for In-Context Learning of Linear Regression?