Publications

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(2024). Inferring Change Points in High-Dimensional Regression via Approximate Message Passing.

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(2024). Inferring Change Points in High-Dimensional Linear Regression via Approximate Message Passing. In International Conference on Machine Learning (ICML), 2024.

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(2023). Greedy Heuristics and Linear Relaxations for the Random Hitting Set Problem. (alphabetical order). In International Conference on Approximation Algorithms for Combinatorial Optimization Problems (APPROX), 2024.

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(2023). Statistical-Computational Tradeoffs in Mixed Sparse Linear Regression. In Conference on Learning Theory (COLT), 2023.

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(2022). (Dis)assortative partitions on random regular graphs. In Journal of Physics A: Mathematical and Theoretical.

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(2020). On the role of data in PAC-Bayes bounds. In 2021 International Conference on Artificial Intelligence and Statistics (AISTATS).

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(2020). Group Testing in the High Dilution Regime. Asterisk denotes equal contribution. In 2021 IEEE International Symposium on Information Theory (ISIT).

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(2018). Towards generalization guarantees for SGD: Data-dependent PAC-Bayes priors. In NeurIPS 2018 Workshop on Bayesian Deep Learning.

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(2018). Using Information Invariants to Compare Swarm Algorithms and General Multi-Robot Algorithms. In 2018 IEEE International Conference on Robotics and Automation (ICRA).

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(2017). Full Stack Swarm Architecture. In RISS 2017 Working Papers Journal.

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(2017). Dependence of supercapacitor performance on macro-structure of monolithic biochar electrodes. In Biomass and Bioenergy.

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