DEGAS: de novo discovery of dysregulated pathways in human diseases von Ulitsky, Igor, Krishnamurthy, Akshay, Karp, Richard M, Shamir, Ron

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Fine-needle aspiration of goiter (benign and non-neoplastic) with thyroid function abnormalities von Saha, Debarshi, Krishnamurthy, Akshay, Kumar, Ashwani, Sinha, Ruchi, Kini, Jyoti

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Robust Dynamic Assortment Optimization in the Presence of Outlier Customers von Chen, Xi, Krishnamurthy, Akshay, Wang, Yining

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Extreme Compressive Sampling for Covariance Estimation von Azizyan, Martin, Krishnamurthy, Akshay, Singh, Aarti

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Trace Reconstruction: Generalized and Parameterized von Krishnamurthy, Akshay, Mazumdar, Arya, McGregor, Andrew, Pal, Soumyabrata

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Robust multi-source network tomography using selective probes von Krishnamurthy, A., Singh, A.

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Contextual Bandits with Continuous Actions: Smoothing, Zooming, and Adapting von Krishnamurthy, Akshay, Langford, John, Slivkins, Aleksandrs, Zhang, Chicheng

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Contextual Search in the Presence of Adversarial Corruptions von Krishnamurthy, Akshay, Lykouris, Thodoris, Podimata, Chara, Schapire, Robert

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Assessment of the Ultrasonological Findings of Goitrogenous Lesions von Krishnamurthy, Akshay, Santosh, U. P., Nasser, Arfan, Saumya, Shubhi

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Efficient and Optimal Algorithms for Contextual Dueling Bandits under Realizability von Saha, Aadirupa, Krishnamurthy, Akshay

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Universal and data-adaptive algorithms for model selection in linear contextual bandits von Muthukumar, Vidya, Krishnamurthy, Akshay

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Scalable Online Exploration via Coverability von Amortila, Philip, Foster, Dylan J, Krishnamurthy, Akshay

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Mitigating Covariate Shift in Misspecified Regression with Applications to Reinforcement Learning von Amortila, Philip, Cao, Tongyi, Krishnamurthy, Akshay

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Provably adaptive reinforcement learning in metric spaces von Cao, Tongyi, Krishnamurthy, Akshay

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Oracle-Efficient Pessimism: Offline Policy Optimization in Contextual Bandits von Wang, Lequn, Krishnamurthy, Akshay, Slivkins, Aleksandrs

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Efficient First-Order Contextual Bandits: Prediction, Allocation, and Triangular Discrimination von Foster, Dylan J, Krishnamurthy, Akshay

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Computationally Efficient RL under Linear Bellman Completeness for Deterministic Dynamics von Wu, Runzhe, Sekhari, Ayush, Krishnamurthy, Akshay, Sun, Wen

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Rich-Observation Reinforcement Learning with Continuous Latent Dynamics von Song, Yuda, Wu, Lili, Foster, Dylan J, Krishnamurthy, Akshay

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Minimax Structured Normal Means Inference von Krishnamurthy, Akshay

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Universal and data-adaptive algorithms for model selection in linear contextual bandits von Muthukumar, Vidya, Krishnamurthy, Akshay

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