8 citations · 16 across the 14 of their papers we have counts for
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Distribution-dependent Generalization Bounds for Tuning Linear Regression Across Tasks
Maria-Florina Balcan, Saumya Goyal, Dravyansh Sharma
Modern regression problems often involve high-dimensional data and a careful tuning of the regularization hyperparameters is crucial to avoid overly complex models that may overfit…
On Learning Verifiers and Implications to Chain-of-Thought Reasoning
Maria-Florina Balcan, Avrim Blum, Zhiyuan Li +1
Chain-of-Thought reasoning has emerged as a powerful approach for solving complex mathematical and logical problems. However, it can often veer off track through incorrect or unsub…
Offline-to-online hyperparameter transfer for stochastic bandits
Dravyansh Sharma, Arun Sai Suggala
Classic algorithms for stochastic bandits typically use hyperparameters that govern their critical properties such as the trade-off between exploration and exploitation. Tuning the…
Sample complexity of data-driven tuning of model hyperparameters in neural networks with structured parameter-dependent dual function
Maria-Florina Balcan, Anh Tuan Nguyen, Dravyansh Sharma
Modern machine learning algorithms, especially deep learning based techniques, typically involve careful hyperparameter tuning to achieve the best performance. Despite the surge of…