Krishnan, Shankar

7 publications

NeurIPS 2024 On the Inductive Bias of Stacking Towards Improving Reasoning Nikunj Saunshi, Stefani Karp, Shankar Krishnan, Sobhan Miryoosefi, Sashank J. Reddi, Sanjiv Kumar

NeurIPSW 2023 Adaptive Gradient Methods at the Edge of Stability Jeremy Cohen, Behrooz Ghorbani, Shankar Krishnan, Naman Agarwal, Sourabh Medapati, Michal Badura, Daniel Suo, Zachary Nado, George E. Dahl, Justin Gilmer

ICML 2023 Efficient Training of Language Models Using Few-Shot Learning Sashank J. Reddi, Sobhan Miryoosefi, Stefani Karp, Shankar Krishnan, Satyen Kale, Seungyeon Kim, Sanjiv Kumar

ICLR 2021 A Unifying View on Implicit Bias in Training Linear Neural Networks Chulhee Yun, Shankar Krishnan, Hossein Mobahi

ICML 2019 An Investigation into Neural Net Optimization via Hessian Eigenvalue Density Behrooz Ghorbani, Shankar Krishnan, Ying Xiao

ICMLW 2019 The Effect of Network Depth on the Optimization Landscape Behrooz Ghorbani, Ying Xiao, Shankar Krishnan

ICLR 2018 Neumann Optimizer: A Practical Optimization Algorithm for Deep Neural Networks Shankar Krishnan, Ying Xiao, Rif. A. Saurous