Matrix Compression via Randomized Low Rank and Low Precision
FactorizationNeural Information Processing Systems (NeurIPS), 2023 |
Iterative Sketching for Secure Coded RegressionIEEE Journal on Selected Areas in Information Theory (JSAIT), 2023 |
Gradient Coding with Iterative Block Leverage Score SamplingIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2023 |
Distributed Sketching for Randomized Optimization: Exact
Characterization, Concentration and Lower BoundsIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2022 |
Orthonormal Sketches for Secure Coded RegressionInternational Symposium on Information Theory (ISIT), 2022 |
Scalable3-BO: Big Data meets HPC - A scalable asynchronous parallel
high-dimensional Bayesian optimization framework on supercomputersConference on Computability in Europe (CiE), 2021 |
LSAR: Efficient Leverage Score Sampling Algorithm for the Analysis of
Big Time Series DataJournal of machine learning research (JMLR), 2019 |