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2020 – today
- 2024
[c7]Nikhil Vyas, Depen Morwani, Rosie Zhao, Gal Kaplun, Sham M. Kakade, Boaz Barak:
Beyond Implicit Bias: The Insignificance of SGD Noise in Online Learning. ICML 2024- 2023
- [c6]Gal Kaplun, Nikhil Ghosh, Saurabh Garg, Boaz Barak, Preetum Nakkiran:
Deconstructing Distributions: A Pointwise Framework of Learning. ICLR 2023 - [i11]Gal Kaplun, Andrey Gurevich, Tal Swisa, Mazor David, Shai Shalev-Shwartz, Eran Malach:
SubTuning: Efficient Finetuning for Multi-Task Learning. CoRR abs/2302.06354 (2023) - [i10]Nikhil Vyas, Depen Morwani, Rosie Zhao, Gal Kaplun, Sham M. Kakade, Boaz Barak:
Beyond Implicit Bias: The Insignificance of SGD Noise in Online Learning. CoRR abs/2306.08590 (2023) - [i9]Etay Livne, Gal Kaplun, Eran Malach, Shai Shalev-Schwatz:
Corgi^2: A Hybrid Offline-Online Approach To Storage-Aware Data Shuffling For SGD. CoRR abs/2309.01640 (2023) - 2022
- [c5]Gal Kaplun, Eran Malach, Preetum Nakkiran, Shai Shalev-Shwartz:
Knowledge Distillation: Bad Models Can Be Good Role Models. NeurIPS 2022 - [i8]Gal Kaplun, Nikhil Ghosh, Saurabh Garg, Boaz Barak, Preetum Nakkiran:
Deconstructing Distributions: A Pointwise Framework of Learning. CoRR abs/2202.09931 (2022) - [i7]Gal Kaplun, Eran Malach, Preetum Nakkiran, Shai Shalev-Shwartz:
Knowledge Distillation: Bad Models Can Be Good Role Models. CoRR abs/2203.14649 (2022) - 2021
- [c4]Yamini Bansal, Gal Kaplun, Boaz Barak:
For self-supervised learning, Rationality implies generalization, provably. ICLR 2021 - [i6]Nishanth Dikkala, Gal Kaplun, Rina Panigrahy:
For Manifold Learning, Deep Neural Networks can be Locality Sensitive Hash Functions. CoRR abs/2103.06875 (2021) - 2020
- [c3]Preetum Nakkiran, Gal Kaplun, Yamini Bansal, Tristan Yang, Boaz Barak, Ilya Sutskever:
Deep Double Descent: Where Bigger Models and More Data Hurt. ICLR 2020 - [i5]Sharon Qian, Dimitris Kalimeris, Gal Kaplun, Yaron Singer:
Robustness from Simple Classifiers. CoRR abs/2002.09422 (2020) - [i4]Yamini Bansal, Gal Kaplun, Boaz Barak:
For self-supervised learning, Rationality implies generalization, provably. CoRR abs/2010.08508 (2020)
2010 – 2019
- 2019
- [c2]Dimitris Kalimeris, Gal Kaplun, Yaron Singer:
Robust Influence Maximization for Hyperparametric Models. ICML 2019: 3192-3200 - [c1]Dimitris Kalimeris, Gal Kaplun, Preetum Nakkiran, Benjamin L. Edelman, Tristan Yang, Boaz Barak, Haofeng Zhang:
SGD on Neural Networks Learns Functions of Increasing Complexity. NeurIPS 2019: 3491-3501 - [i3]Dimitris Kalimeris, Gal Kaplun, Yaron Singer:
Robust Influence Maximization for Hyperparametric Models. CoRR abs/1903.03746 (2019) - [i2]Preetum Nakkiran, Gal Kaplun, Dimitris Kalimeris, Tristan Yang, Benjamin L. Edelman
, Fred Zhang, Boaz Barak:
SGD on Neural Networks Learns Functions of Increasing Complexity. CoRR abs/1905.11604 (2019) - [i1]Preetum Nakkiran, Gal Kaplun, Yamini Bansal, Tristan Yang, Boaz Barak, Ilya Sutskever:
Deep Double Descent: Where Bigger Models and More Data Hurt. CoRR abs/1912.02292 (2019)
Coauthor Index
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last updated on 2024-09-04 01:20 CEST by the dblp team
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