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Nilanjana Laha

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2023
[j3]
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  - journals/jmlr/WLACM23
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Aaron Sonabend W., Nilanjana Laha, Ashwin N. Ananthakrishnan, Tianxi Cai, Rajarshi Mukherjee:
Semi-Supervised Off-Policy Reinforcement Learning and Value Estimation for Dynamic Treatment Regimes. J. Mach. Learn. Res. 24: 323:1-323:86 (2023)
[j2]
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Nilanjana Laha, Rajarshi Mukherjee:
On Support Recovery With Sparse CCA: Information Theoretic and Computational Limits. IEEE Trans. Inf. Theory 69(3): 1695-1738 (2023)
2022
[c1]
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  - conf/iclr/BurkholzLMG22
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Rebekka Burkholz, Nilanjana Laha, Rajarshi Mukherjee, Alkis Gotovos:
On the Existence of Universal Lottery Tickets. ICLR 2022
2021
[j1]
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  - journals/sac/HahnLLCSL21
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Georg Hahn, Sharon Marie Lutz, Nilanjana Laha, Michael H. Cho, Edwin K. Silverman, Christoph Lange:
A fast and efficient smoothing approach to Lasso regression and an application in statistical genetics: polygenic risk scores for chronic obstructive pulmonary disease (COPD). Stat. Comput. 31(3): 35 (2021)
[i2]
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  - journals/corr/abs-2111-11146
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Rebekka Burkholz, Nilanjana Laha, Rajarshi Mukherjee, Alkis Gotovos:
On the Existence of Universal Lottery Tickets. CoRR abs/2111.11146 (2021)
2020
[i1]
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  - journals/corr/abs-2012-04809
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Aaron Sonabend W., Nilanjana Laha, Rajarshi Mukherjee, Tianxi Cai:
Semi-Supervised Off Policy Reinforcement Learning. CoRR abs/2012.04809 (2020)

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