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Author Information
Alp Yurtsever (Umeå University)
Alex Gu (MIT)
Suvrit Sra (MIT)
Suvrit Sra is a Research Faculty at the Laboratory for Information and Decision Systems (LIDS) at Massachusetts Institute of Technology (MIT). He obtained his PhD in Computer Science from the University of Texas at Austin in 2007. Before moving to MIT, he was a Senior Research Scientist at the Max Planck Institute for Intelligent Systems, in Tübingen, Germany. He has also held visiting faculty positions at UC Berkeley (EECS) and Carnegie Mellon University (Machine Learning Department) during 2013-2014. His research is dedicated to bridging a number of mathematical areas such as metric geometry, matrix analysis, convex analysis, probability theory, and optimization with machine learning; more broadly, his work involves algorithmically grounded topics within engineering and science. He has been a co-chair for OPT2008-2015, NIPS workshops on "Optimization for Machine Learning," and has also edited a volume of the same name (MIT Press, 2011).
More from the Same Authors
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2020 : Paper 10: Certified Interpretability Robustness for Class Activation Mapping »
Alex Gu · Tsui-Wei Weng · Pin-Yu Chen · Sijia Liu · Luca Daniel -
2023 Poster: The Curious Role of Normalization in Sharpness-Aware Minimization »
Yan Dai · Kwangjun Ahn · Suvrit Sra -
2023 Poster: Transformers learn to implement preconditioned gradient descent for in-context learning »
Kwangjun Ahn · Xiang Cheng · Hadi Daneshmand · Suvrit Sra -
2023 Poster: LeanDojo: Theorem Proving with Retrieval-Augmented Language Models »
Kaiyu Yang · Aidan Swope · Alex Gu · Rahul Chalamala · Peiyang Song · Shixing Yu · Saad Godil · Ryan J Prenger · Animashree Anandkumar -
2023 Oral: LeanDojo: Theorem Proving with Retrieval-Augmented Language Models »
Kaiyu Yang · Aidan Swope · Alex Gu · Rahul Chalamala · Peiyang Song · Shixing Yu · Saad Godil · Ryan J Prenger · Animashree Anandkumar -
2022 Poster: CCCP is Frank-Wolfe in disguise »
Alp Yurtsever · Suvrit Sra -
2022 Poster: Efficient Sampling on Riemannian Manifolds via Langevin MCMC »
Xiang Cheng · Jingzhao Zhang · Suvrit Sra -
2021 Poster: Can contrastive learning avoid shortcut solutions? »
Joshua Robinson · Li Sun · Ke Yu · Kayhan Batmanghelich · Stefanie Jegelka · Suvrit Sra -
2018 Poster: Online Adaptive Methods, Universality and Acceleration »
Kfir Y. Levy · Alp Yurtsever · Volkan Cevher -
2017 Poster: Fixed-Rank Approximation of a Positive-Semidefinite Matrix from Streaming Data »
Joel A Tropp · Alp Yurtsever · Madeleine Udell · Volkan Cevher -
2017 Poster: Elementary Symmetric Polynomials for Optimal Experimental Design »
Zelda Mariet · Suvrit Sra -
2017 Poster: Polynomial time algorithms for dual volume sampling »
Chengtao Li · Stefanie Jegelka · Suvrit Sra -
2016 : Taming non-convexity via geometry »
Suvrit Sra -
2016 Poster: Stochastic Three-Composite Convex Minimization »
Alp Yurtsever · Bang Cong Vu · Volkan Cevher -
2016 Tutorial: Large-Scale Optimization: Beyond Stochastic Gradient Descent and Convexity »
Suvrit Sra · Francis Bach -
2015 Poster: Matrix Manifold Optimization for Gaussian Mixtures »
Reshad Hosseini · Suvrit Sra -
2015 Poster: On Variance Reduction in Stochastic Gradient Descent and its Asynchronous Variants »
Sashank J. Reddi · Ahmed Hefny · Suvrit Sra · Barnabas Poczos · Alexander Smola -
2015 Poster: A Universal Primal-Dual Convex Optimization Framework »
Alp Yurtsever · Quoc Tran Dinh · Volkan Cevher