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Chinmaya Kausik
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2020 – today
- 2024
- [j1]Chinmaya Kausik, Kashvi Srivastava, Rishi Sonthalia:
Double Descent and Overfitting under Noisy Inputs and Distribution Shift for Linear Denoisers. Trans. Mach. Learn. Res. 2024 (2024) - [c2]Chinmaya Kausik, Yangyi Lu, Kevin Tan, Maggie Makar, Yixin Wang, Ambuj Tewari:
Offline Policy Evaluation and Optimization Under Confounding. AISTATS 2024: 1459-1467 - [i5]Chinmaya Kausik, Mirco Mutti, Aldo Pacchiano, Ambuj Tewari:
A Framework for Partially Observed Reward-States in RLHF. CoRR abs/2402.03282 (2024) - [i4]Chinmaya Kausik, Kevin Tan, Ambuj Tewari:
Leveraging Offline Data in Linear Latent Bandits. CoRR abs/2405.17324 (2024) - 2023
- [c1]Chinmaya Kausik, Kevin Tan, Ambuj Tewari:
Learning Mixtures of Markov Chains and MDPs. ICML 2023: 15970-16017 - [i3]Chinmaya Kausik, Kashvi Srivastava, Rishi Sonthalia:
Generalization Error without Independence: Denoising, Linear Regression, and Transfer Learning. CoRR abs/2305.17297 (2023) - 2022
- [i2]Chinmaya Kausik, Kevin Tan, Ambuj Tewari:
Learning Mixtures of Markov Chains and MDPs. CoRR abs/2211.09403 (2022) - [i1]Kevin Tan, Yangyi Lu, Chinmaya Kausik, Yixin Wang, Ambuj Tewari:
Offline Policy Evaluation and Optimization under Confounding. CoRR abs/2211.16583 (2022)
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last updated on 2024-08-10 00:30 CEST by the dblp team
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