Projects per year
Fingerprint
Dive into the research topics where Sanjeev Arora is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
Collaborative Research:RI:Medium:MoDL:Mathematical and Conceptual Understanding of Large Language Models
NSF - National Science Foundation
10/1/22 → 9/30/25
Project: Research project
-
Going beyond a black-box optimization view of deep learning
4/7/20 → 10/31/23
Project: Research project
-
-
AF: Small: Linear Algebra++ and Applications to Machine Learning
NSF - National Science Foundation
6/15/15 → 5/31/19
Project: Research project
-
Implicit Bias of Gradient Descent on Reparametrized Models: On Equivalence to Mirror Descent
Li, Z., Wang, T., Lee, J. D. & Arora, S., 2022, Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022. Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 35).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
-
New Definitions and Evaluations for Saliency Methods: Staying Intrinsic, Complete and Sound
Gupta, A., Saunshi, N., Yu, D., Lyu, K. & Arora, S., 2022, Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022. Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 35).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
-
ON PREDICTING GENERALIZATION USING GANS
Zhang, Y., Gupta, A., Saunshi, N. & Arora, S., 2022.Research output: Contribution to conference › Paper › peer-review
-
On the SDEs and Scaling Rules for Adaptive Gradient Algorithms
Malladi, S., Lyu, K., Panigrahi, A. & Arora, S., 2022, Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022. Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 35).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
-
Understanding Contrastive Learning Requires Incorporating Inductive Biases
Saunshi, N., Ash, J. T., Goel, S., Misra, D., Zhang, C., Arora, S., Kakade, S. & Krishnamurthy, A., 2022, In: Proceedings of Machine Learning Research. 162, p. 19250-19286 37 p.Research output: Contribution to journal › Conference article › peer-review
7 Scopus citations