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PUBLICATIONS
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Cohen, M. K., Vellambi, B., & Hutter, M. (2021) Intelligence and Unambitiousness Using Algorithmic Information Theory. IEEE Journal of Selected Areas in Information Theory.
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Cohen, M. K., Catt, E., & Hutter, M. (2021) Curiosity Killed or Incapacitated the Cat and the Asymptotically Optimal Agent. IEEE Journal of Selected Areas in Information Theory.
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Cohen, M. K. & Hutter, M. (2020) Pessimism About Unknown Unknowns Inspires Conservatism. In PMLR. [COLT-20]
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Cohen, M. K., Vellambi, B., & Hutter, M. (2020) Asymptotically Unambitious Artificial General Intelligence. In Proc. AAAI-20.
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Cohen, M. K., Catt, E., & Hutter, M. (2019) A Strongly Asymptotically Optimal Agent in General Environments. In Proc. IJCAI-19.
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Cohen, M. (2017). Intra-feature Random Forest Clustering. In International Workshop on Machine Learning, Optimization, and Big Data (pp. 41-49). Springer, Cham.
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Nemchick, D. J., Cohen, M. K., & Vaccaro, P. H. (2016). Dual hydrogen-bonding motifs in complexes formed between tropolone and formic acid. The Journal of Chemical Physics, 145(20), 204303.
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Nemchick, D., Cohen, M., & Vaccaro, P. (2015). Dispersion-Dominated π-Stacked Complexes Constructed on a Dynamic Scaffold. In 70th International Symposium on Molecular Spectroscopy (Vol. 1).
Under Review:
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Cohen, M. K., Hutter, M., & Osborne, M. A. Advanced Artificial Agents Intervene in the Provision of Reward. (Forthcoming at AI Magazine.) [Draft of bullet-point version of paper here.]
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Cohen, M. K., Hutter, M., & Nanda, N. Fully General Online Imitation Learning. (Accept with minor revisions at JMLR.)
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Cohen, M. K., Daulton, S. & Osborne, M. A. Linear-Time Gaussian Processes with Binary Tree Kernels.
