Baharan Mirzasoleiman

Engineering VI - 397B

404 Westwood Plaza

Los Angeles, CA 90095

baharan@cs.ucla.edu

I am an Assistant Professor in the Computer Science Department at UCLA, where I lead the BigML research group.

My research aims to address sustainability, reliability, and efficiency of machine learning. I am mainly working on improving the big data quality, by developing theoretically rigorous methods to select the most beneficial data for efficient and robust learning. Besides, I am also interested in improving the models and learning algorithms. The resulting methods are broadly applicable for learning from massive datasets across a wide range of applications, such as medical diagnosis and environment sensing.

Before joining UCLA, I was a postdoctoral research fellow in Computer Science at Stanford University working with Jure Leskovec. I received my Ph.D. in Computer Science from ETH Zurich advised by Andreas Krause. I received an ETH medal for Outstanding Doctoral Thesis, was selected as a Rising Star in EECS by MIT, and received an NSF Career Award.

news

Aug 2, 2024	Check out our tutorial on Foundations of Data-efficient Learning at ICML’24. You can find the slides here , and the recording here: .
Jun 15, 2024	Yu Yang received a UCLA Dissertation Year Award
Apr 15, 2024	Yihao Xue received an OpenAI Superalignment Fast Grant
Mar 7, 2024	Keynote talk at KDD’23 resource-efficient learning workshop, ICLR’24 DMLR workshop, USC SEEDS’24 conference, CVPR’24 Dataset Distillation workshop
Aug 15, 2023	I received a Hellman Fellows Award
Jul 1, 2023	Co-organizing the 2nd New Frontiers in Adversarial Machine Learning
May 1, 2023	Co-organizing the 3rd Sparsity in Neural Network Workshop at ICLR, continuing our efforts at 2nd Sparsity in Neural Network Workshop, and 1st Sparsity in Neural Network Workshop
Sep 7, 2022	Invited talks at IFML workshop, UAI tractable probabilistic modelling workshop (TPM), Vanderbilt University Machine Learning Seminar, ICML DataPerf Workshop, UT Austin ECE Colloquia Seminar, Stanfod MLSys seminar, and ICML SubsetML Workshop summarizing our efforts on data selection for efficient and robust learning. You can watch some here
Sep 7, 2022	Yu Yang received Amazon Doctoral Student Fellowship
Aug 15, 2022	I received an NSF Career Award
May 27, 2022	I received anAmazon Research Award