Welcome

The Statistical Machine Learning Laboratory (Smilelab) is located in Room 105 of the Computer Science department at the Missouri University of Science & Technology, Rolla. We conduct research, teaching, and outreach in statistical learning theory and its applications. Check out the links at the top for more details.

Contact us via email at astripathy@mst.edu

Publications

* contributed equally and are listed alphabetically

  • N. Seidi, A. Tripathy, and S. Das, “Using Geographic Location-based Public Health Features in Survival Analysis,” Proceedings of the Eighth IEEE/ACM Conference on Connected Health: Applications, Systems, and Engineering Technologies (CHASE), pp. 80-91, 2023. https://arxiv.org/abs/2304.07679
  • S. Mukherjee*, A. Tripathy*, and R. Nowak, “Chernoff Sampling for Active Testing and Extension to Active Regression,” Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (AISTATS), in Proceedings of Machine Learning Research, 151:7384-7432, 2022. Available from https://proceedings.mlr.press/v151/mukherjee22a.html
  • B. Mason, A. Tripathy, and R. Nowak, “Nearest neighbor search under uncertainty,” Proceedings of the 37th Conference on Uncertainty in Artificial Intelligence (UAI), in Proceedings of Machine Learning Research 161:1777-1786, 2021. Available from https://proceedings.mlr.press/v161/mason21a.html
  • M. Malloy, A. Tripathy, and R. Nowak, “Optimal Confidence Sets for the Multinomial Parameter,” 2021 IEEE International Symposium on Information Theory (ISIT), 2021, pp. 2173-2178, doi: 10.1109/ISIT45174.2021.9517964. https://arxiv.org/abs/2002.01044
  • B. Mason, L. Jain, A. Tripathy, and R. Nowak, “Finding all є-good arms in stochastic bandits,” Advances in Neural Information Processing Systems (NeurIPS), 33, 20707-20718, 2020. Available from https://proceedings.neurips.cc/paper/2020/hash/edf0320adc8658b25ca26be5
    351b6c4a-Abstract.html
  • A. Tripathy, Y. Wang, and P. Ishwar, “Privacy-Preserving Adversarial Networks,” 2019 57th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2019, pp. 495-505, doi: 10.1109/ALLERTON.2019.8919758. https://arxiv.org/abs/1712.07008
  • S. Katariya*, A. Tripathy*, and R. Nowak, “MaxGap Bandit: Adaptive Algorithms for Approximate Ranking,” Advances in Neural Information Processing Systems (NeurIPS), 32, 2019. Available from https://proceedings.neurips.cc/paper/2019/hash/9b16759a62899465ab21e2e79
    d2ef75c-Abstract.html
  • B. Mason*, A. Tripathy*, and R. Nowak, “Learning Nearest Neighbor Graphs from Noisy Distance Samples,” Advances in Neural Information Processing Systems (NeurIPS), 32, 2019. Available from https://proceedings.neurips.cc/paper/2019/hash/98c56bce74669e2e4e7a9fc1ca
    a8c326-Abstract.html
  • A. Tripathy and A. Ramamoorthy, “Zero-error Function Computation on a Directed Acyclic Network,” 2018 IEEE Information Theory Workshop (ITW), 2018, pp. 1-5, doi: 10.1109/ITW.2018.8613467. https://arxiv.org/abs/1805.03730
  • A. Tripathy and A. Ramamoorthy, “Sum-Networks from Incidence Structures: Construction and Capacity Analysis,” in IEEE Transactions on Information Theory, vol. 64, no. 5, pp. 3461-3480, May 2018, doi: 10.1109/TIT.2017.2765661. https://arxiv.org/abs/1611.01887
  • A. Tripathy and A. Ramamoorthy, “On computation rates for arithmetic sum,” 2016 IEEE International Symposium on Information Theory (ISIT), 2016, pp. 2354-2358, doi: 10.1109/ISIT.2016.7541720. https://arxiv.org/abs/1601.07228
  • A. Tripathy and A. Ramamoorthy, “Capacity of sum-networks for different message alphabets,” 2015 IEEE International Symposium on Information Theory (ISIT), 2015, pp. 606-610, doi: 10.1109/ISIT.2015.7282526. https://arxiv.org/abs/1504.05618
  • A. Tripathy and A. Ramamoorthy, “Sum-networks from undirected graphs: Construction and capacity analysis,” 2014 52nd Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2014, pp. 651-658, doi: 10.1109/ALLERTON.2014.7028517. https://arxiv.org/abs/1504.05618
  • L. Kumar, A. Tripathy, and R. M. Hegde, “Robust Multi-Source Localization Over Planar Arrays Using MUSIC-Group Delay Spectrum,” in IEEE Transactions on Signal Processing, vol. 62, no. 17, pp. 4627-4636, Sept.1, 2014, doi: 10.1109/TSP.2014.2337271.
  • A. Tripathy, L. Kumar, and R. M. Hegde, “Robust two-dimensional source localization using the MUSIC-Group delay spectrum,” 2012 International Conference on Signal Processing and Communications (SPCOM), 2012, pp. 1-5, doi: 10.1109/SPCOM.2012.6290035.
  • A. Tripathy, L. Kumar, and R. M. Hegde, “Group delay-based methods for speech source localization over circular arrays,” 2011 Joint Workshop on Hands-free Speech Communication and Microphone Arrays (HSCMA), 2011, pp. 64-69, doi: 10.1109/HSCMA.2011.5942411.