Baharan Mirzasoleiman
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, a UCLA Hellman Fellows Award and an Okawa Research Award.
To know more, check out our tutorial on Foundations of Data-efficient Learning at ICML’24!
news
| May 5, 2025 |
Yu Yang received a Computer Science Graduate Student Awards 
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| May 4, 2025 | Invited talk at ATTRIB at NeurIPS’24, Northwestern Statistics & Data Science Seminar, and SCLS at ICLR’25 |
| Dec 6, 2024 | Co-organizing the 3nd New Frontiers in Adversarial Machine Learning at NeurIPS’24 |
| Dec 5, 2024 |
I received an Okawa Research Award
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| Nov 14, 2024 | Invited talk at Google workshop on Theory and Practice of Foundation Models |
| Oct 5, 2024 |
Siddharth Joshi received an Amazon Doctoral Student Fellowship
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| 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  .
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| Jun 15, 2024 |
Yu Yang received a UCLA Dissertation Year Award
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| Apr 15, 2024 |
Yihao Xue received an OpenAI Superalignment Fast Grant
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| 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
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| 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
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| Sep 7, 2022 |
Yu Yang received an Amazon Doctoral Student Fellowship
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| Aug 15, 2022 |
I received an NSF Career Award
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| May 27, 2022 |
I received an Amazon Research Award
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