Eshaan Nichani

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 16

Top Topics

Sample Complexity

Pac Learnability

Causal Structure

Top Venues

Publications

Eshaan Nichani, Alex Damian, Jason D. Lee
How Transformers Learn Causal Structure with Gradient Descent. CoRR (2024)
Zihao Wang, Eshaan Nichani, Jason D. Lee
Learning Hierarchical Polynomials with Three-Layer Neural Networks. ICLR (2024)
Sadhika Malladi, Tianyu Gao, Eshaan Nichani, Alex Damian, Jason D. Lee, Danqi Chen, Sanjeev Arora
Fine-Tuning Language Models with Just Forward Passes. NeurIPS (2023)
Eshaan Nichani, Alex Damian, Jason D. Lee
Provable Guarantees for Nonlinear Feature Learning in Three-Layer Neural Networks. NeurIPS (2023)
Alex Damian, Eshaan Nichani, Jason D. Lee
Self-Stabilization: The Implicit Bias of Gradient Descent at the Edge of Stability. ICLR (2023)
Eshaan Nichani, Alex Damian, Jason D. Lee
Provable Guarantees for Nonlinear Feature Learning in Three-Layer Neural Networks. CoRR (2023)
Alex Damian, Eshaan Nichani, Rong Ge, Jason D. Lee
Smoothing the Landscape Boosts the Signal for SGD: Optimal Sample Complexity for Learning Single Index Models. NeurIPS (2023)
Sadhika Malladi, Tianyu Gao, Eshaan Nichani, Alex Damian, Jason D. Lee, Danqi Chen, Sanjeev Arora
Fine-Tuning Language Models with Just Forward Passes. CoRR (2023)
Zihao Wang, Eshaan Nichani, Jason D. Lee
Learning Hierarchical Polynomials with Three-Layer Neural Networks. CoRR (2023)
Alex Damian, Eshaan Nichani, Rong Ge, Jason D. Lee
Smoothing the Landscape Boosts the Signal for SGD: Optimal Sample Complexity for Learning Single Index Models. CoRR (2023)
Chandler Squires, Annie Yun, Eshaan Nichani, Raj Agrawal, Caroline Uhler
Causal Structure Discovery between Clusters of Nodes Induced by Latent Factors. CLeaR (2022)
Alex Damian, Eshaan Nichani, Jason D. Lee
Self-Stabilization: The Implicit Bias of Gradient Descent at the Edge of Stability. CoRR (2022)
Eshaan Nichani, Yu Bai, Jason D. Lee
Identifying good directions to escape the NTK regime and efficiently learn low-degree plus sparse polynomials. CoRR (2022)
Eshaan Nichani, Yu Bai, Jason D. Lee
Identifying good directions to escape the NTK regime and efficiently learn low-degree plus sparse polynomials. NeurIPS (2022)
Eshaan Nichani, Adityanarayanan Radhakrishnan, Caroline Uhler
Do Deeper Convolutional Networks Perform Better? CoRR (2020)
Adityanarayanan Radhakrishnan, Eshaan Nichani, Daniel Irving Bernstein, Caroline Uhler
Balancedness and Alignment are Unlikely in Linear Neural Networks. CoRR (2020)