معرفی
Raghavendra Bollapragada is an Assistant Professor at the University of Texas at Austin, affiliated with the Department of Mechanical Engineering. His research focuses on optimization, probabilistic modeling, and machine learning, particularly in developing algorithms for large-scale and distributed systems.
Research Areas: Analytics, Probabilistic Modeling, and Stochastic Optimization. His work bridges computational mathematics and machine learning, with emphasis on gradient estimation, sketching techniques, and adaptive sampling strategies.
Publications highlight trends in optimization methods, including Newton-Sketch subsampled approaches (2020), primal-dual acceleration (2019), adaptive sampling (2019), and distributed optimization (2019). These span numerical analysis, algorithm design, and machine learning systems.
Contact: raghu.bollapragada@utexas.edu
Raghavendra Bollapragada در سایتهای دیگر
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Vijaya Raghavendra BollapragadaUniversity of Texas at Austin · استادیار- RRaghu BollapragadaUniversity of Texas at Austin · استادیار
Wuchen LiUniversity of South Carolina · استادیار
Necdet AybatPennsylvania State University · دانشیار
Jiaming LiangUniversity of Rochester · استادیار- OO. Deniz AkyildizUniversity of Oxford · استادیار