OpenReview
.net
OpenReview
.net
Login
OpenReview
.net
Login
Mikhail Belkin
Professor, University of California, San Diego
Joined
February 2019
Names
Mikhail Belkin
(Preferred)
,
Misha Belkin
Emails
****@gmail.com
(Confirmed)
,
****@cse.ohio-state.edu
(Confirmed)
,
****@ucsd.edu
(Confirmed)
Personal Links
Homepage
Google Scholar
Career & Education History
Professor
University of California, San Diego
(ucsd.edu)
Present
Advisors, Relations & Conflicts
No relations added
Expertise
No areas of expertise listed
Publications
Neural Tangent Kernel at Initialization: Linear Width Suffices
Arindam Banerjee
,
Pedro Cisneros-Velarde
,
Libin Zhu
,
Misha Belkin
Published: 08 May 2023, Last Modified: 26 Jun 2023
UAI 2023
Readers:
Everyone
Loss landscapes and optimization in over-parameterized non-linear systems and neural networks
Chaoyue Liu
,
Libin Zhu
,
Misha Belkin
25 Dec 2022
OpenReview Archive Direct Upload
Readers:
Everyone
Restricted Strong Convexity of Deep Learning Models with Smooth Activations
Arindam Banerjee
,
Pedro Cisneros-Velarde
,
Libin Zhu
,
Misha Belkin
Published: 01 Feb 2023, Last Modified: 19 Apr 2023
ICLR 2023 poster
Readers:
Everyone
Quadratic models for understanding neural network dynamics
Libin Zhu
,
Chaoyue Liu
,
Adityanarayanan Radhakrishnan
,
Misha Belkin
Published: 01 Feb 2023, Last Modified: 14 Jan 2026
Submitted to ICLR 2023
Readers:
Everyone
Learning large-scale Kernel Networks
Amirhesam Abedsoltan
,
Parthe Pandit
,
Misha Belkin
Published: 01 Feb 2023, Last Modified: 13 Feb 2023
Submitted to ICLR 2023
Readers:
Everyone
Benign, Tempered, or Catastrophic: Toward a Refined Taxonomy of Overfitting
Neil Rohit Mallinar
,
James B Simon
,
Amirhesam Abedsoltan
,
Parthe Pandit
,
Misha Belkin
,
Preetum Nakkiran
Published: 31 Oct 2022, Last Modified: 11 Jan 2023
NeurIPS 2022 Accept
Readers:
Everyone
Benign Overfitting in Two-layer Convolutional Neural Networks
Yuan Cao
,
Zixiang Chen
,
Misha Belkin
,
Quanquan Gu
Published: 31 Oct 2022, Last Modified: 11 Jan 2023
NeurIPS 2022 Accept
Readers:
Everyone
Transition to Linearity of General Neural Networks with Directed Acyclic Graph Architecture
Libin Zhu
,
Chaoyue Liu
,
Misha Belkin
Published: 31 Oct 2022, Last Modified: 11 Oct 2022
NeurIPS 2022 Accept
Readers:
Everyone
Transition to Linearity of Wide Neural Networks is an Emerging Property of Assembling Weak Models
Chaoyue Liu
,
Libin Zhu
,
Misha Belkin
Published: 28 Jan 2022, Last Modified: 13 Feb 2023
ICLR 2022 Spotlight
Readers:
Everyone
Risk Bounds for Over-parameterized Maximum Margin Classification on Sub-Gaussian Mixtures
Yuan Cao
,
Quanquan Gu
,
Misha Belkin
Published: 09 Nov 2021, Last Modified: 05 May 2023
NeurIPS 2021 Poster
Readers:
Everyone
View all 12 publications
Co-Authors
Adityanarayanan Radhakrishnan
Amirhesam Abedsoltan
Arindam Banerjee
Chaoyue Liu
James B Simon
Libin Zhu
Lin Chen
Neil Rohit Mallinar
Parthe Pandit
Pedro Cisneros-Velarde
Preetum Nakkiran
Quanquan Gu
Yifei Min
Yuan Cao
Zixiang Chen
amin karbasi