Yatin Dandi
According to our database1,
Yatin Dandi
authored at least 18 papers
between 2020 and 2024.
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2024
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Bibliography
2024
A Random Matrix Theory Perspective on the Spectrum of Learned Features and Asymptotic Generalization Capabilities.
CoRR, 2024
Online Learning and Information Exponents: On The Importance of Batch size, and Time/Complexity Tradeoffs.
CoRR, 2024
CoRR, 2024
Repetita Iuvant: Data Repetition Allows SGD to Learn High-Dimensional Multi-Index Functions.
CoRR, 2024
The Benefits of Reusing Batches for Gradient Descent in Two-Layer Networks: Breaking the Curse of Information and Leap Exponents.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Online Learning and Information Exponents: The Importance of Batch size & Time/Complexity Tradeoffs.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
2023
A Gentle Introduction to Gradient-Based Optimization and Variational Inequalities for Machine Learning.
CoRR, 2023
Sampling with flows, diffusion and autoregressive neural networks: A spin-glass perspective.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Understanding Layer-wise Contributions in Deep Neural Networks through Spectral Analysis.
CoRR, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020
Proceedings of the NeurIPS 2020 Workshop on Pre-registration in Machine Learning, 2020