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Etash Kumar Guha
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2020 – today
- 2024
- [j1]Etash Kumar Guha:
Solving Robust MDPs through No-Regret Dynamics. Trans. Mach. Learn. Res. 2024 (2024) - [c4]Etash Kumar Guha, Shlok Natarajan, Thomas Möllenhoff, Mohammad Emtiyaz Khan, Eugène Ndiaye:
Conformal Prediction via Regression-as-Classification. ICLR 2024 - [c3]Etash Kumar Guha, Vihan Lakshman:
On the Diminishing Returns of Width for Continual Learning. ICML 2024 - [i9]Etash Kumar Guha, Vihan Lakshman:
On the Diminishing Returns of Width for Continual Learning. CoRR abs/2403.06398 (2024) - [i8]Etash Kumar Guha, Shlok Natarajan, Thomas Möllenhoff, Mohammad Emtiyaz Khan, Eugène Ndiaye:
Conformal Prediction via Regression-as-Classification. CoRR abs/2404.08168 (2024) - [i7]Anas Awadalla, Le Xue, Oscar Lo, Manli Shu, Hannah Lee, Etash Kumar Guha, Matt Jordan, Sheng Shen, Mohamed Awadalla, Silvio Savarese, Caiming Xiong, Ran Xu, Yejin Choi, Ludwig Schmidt:
MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens. CoRR abs/2406.11271 (2024) - [i6]Jeffrey Li, Alex Fang, Georgios Smyrnis, Maor Ivgi, Matt Jordan, Samir Yitzhak Gadre, Hritik Bansal, Etash Kumar Guha, Sedrick Keh, Kushal Arora, Saurabh Garg, Rui Xin, Niklas Muennighoff, Reinhard Heckel, Jean Mercat, Mayee Chen, Suchin Gururangan, Mitchell Wortsman, Alon Albalak, Yonatan Bitton, Marianna Nezhurina, Amro Abbas, Cheng-Yu Hsieh, Dhruba Ghosh, Josh Gardner, Maciej Kilian, Hanlin Zhang, Rulin Shao, Sarah M. Pratt, Sunny Sanyal, Gabriel Ilharco, Giannis Daras, Kalyani Marathe, Aaron Gokaslan, Jieyu Zhang, Khyathi Raghavi Chandu, Thao Nguyen, Igor Vasiljevic, Sham M. Kakade, Shuran Song, Sujay Sanghavi, Fartash Faghri, Sewoong Oh, Luke Zettlemoyer, Kyle Lo, Alaaeldin El-Nouby, Hadi Pouransari, Alexander Toshev, Stephanie Wang, Dirk Groeneveld, Luca Soldaini, Pang Wei Koh, Jenia Jitsev, Thomas Kollar, Alexandros G. Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, Vaishaal Shankar:
DataComp-LM: In search of the next generation of training sets for language models. CoRR abs/2406.11794 (2024) - 2023
- [c2]Guanghui Wang, Rafael Hanashiro, Etash Kumar Guha, Jacob D. Abernethy:
On Accelerated Perceptrons and Beyond. ICLR 2023 - [c1]Etash Kumar Guha, Eugène Ndiaye, Xiaoming Huo:
Conformalization of Sparse Generalized Linear Models. ICML 2023: 11871-11887 - [i5]Etash Kumar Guha, Prasanjit Dubey, Xiaoming Huo:
Generalization Bounds for Magnitude-Based Pruning via Sparse Matrix Sketching. CoRR abs/2305.18789 (2023) - [i4]Etash Kumar Guha, Jason D. Lee:
Solving Robust MDPs through No-Regret Dynamics. CoRR abs/2305.19035 (2023) - [i3]Etash Kumar Guha, Eugène Ndiaye, Xiaoming Huo:
Conformalization of Sparse Generalized Linear Models. CoRR abs/2307.05109 (2023) - 2022
- [i2]Haoran Sun, Etash Kumar Guha, Hanjun Dai:
Annealed Training for Combinatorial Optimization on Graphs. CoRR abs/2207.11542 (2022) - [i1]Guanghui Wang, Rafael Hanashiro, Etash Kumar Guha, Jacob D. Abernethy:
On Accelerated Perceptrons and Beyond. CoRR abs/2210.09371 (2022)
Coauthor Index
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last updated on 2024-10-13 18:00 CEST by the dblp team
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