Damek Davis

• Xingyuang Lu, Minh Pham, Elisa Negrini, Damek Davis, Stanley Osher, Jianwei Miao (2024), Computational Microscopy beyond Perfect Lenses, Physical Review E, 110 (5).
• Damek Davis, Dmitriy Drusvyatskiy, Liwei Jiang (2024), Asymptotic normality and optimality in nonsmooth stochastic approximation, The Annals of Statistics , 52 (4), pp. 1485-1508.
• Jeongyeol Kwon, Wei Qian, Constantine Caramanis, Yudong Chen, Damek Davis, Nhat Ho (2024), Global Optimality of the EM Algorithm for Mixtures of Two Linear Regression, IEEE Transactions on Information Theory, 70 (9), pp. 6519-6546.
• Damek Davis and Liwei Jiang (2024), A local nearly linearly convergent first-order method for nonsmooth functions with quadratic growth, Foundations of Computational Mathematics .
• Damek Davis, Mateo Diaz, Kaizheng Wang (Forthcoming), Clustering a Mixture of Gaussians with Unknown Covariance.

Current Courses

• STAT4830 - Numerical Optimization For Data Science And Machine Learning

  Optimization is the modeling language in which modern data science, machine learning, and sequential decision-making problems are formulated and solved numerically. This course will teach students how to formulate these problems mathematically, choose appropriate algorithms to solve them, and implement and tune the algorithms in the software PyTorch. PyTorch is a freely available machine learning library is recognized as one of the two most popular machine learning libraries alongside TensorFlow. By the end of the course, students will become an intelligent consumer of numerical methods and software for solving modern optimization problems.

  STAT4830001 ( Syllabus )

  STAT4830002 ( Syllabus )

Past Courses

• STAT4830 - Optimization for Data Sci & ML

  Optimization is the modeling language in which modern data science, machine learning, and sequential decision-making problems are formulated and solved numerically. This course will teach students how to formulate these problems mathematically, choose appropriate algorithms to solve them, and implement and tune the algorithms in the software PyTorch. PyTorch is a freely available machine learning library is recognized as one of the two most popular machine learning libraries alongside TensorFlow. By the end of the course, students will become an intelligent consumer of numerical methods and software for solving modern optimization problems.

Knowledge @ Wharton

• Jeremy Siegel: How Tariffs Could Impact the U.S. Economy, Knowledge @ Wharton - 02/10/2025
• Embracing AI: Are You a Doomer, Gloomer, Zoomer, or Bloomer?, Knowledge @ Wharton - 02/04/2025
• Can Pride Make You Look Incompetent at Work?, Knowledge @ Wharton - 02/04/2025
• Transformative Tech: Innovating for the Underserved | Valentina Assenova, Knowledge @ Wharton - 02/04/2025
• As People Still Recover From the LA Wildfires, What Can Business Leaders Do to Help?, Knowledge @ Wharton - 02/04/2025
• The Economic Impact of Trump’s Tariffs, Knowledge @ Wharton - 02/03/2025
• Building a Brand: The Entrepreneurial Lessons Learned on the Road to Cirkul’s Success, Knowledge @ Wharton - 01/30/2025
• How AI Exclusion Impacts Humankind, Knowledge @ Wharton - 01/28/2025
• What the California Wildfires Mean for Insurers and Homeowners, Knowledge @ Wharton - 01/28/2025
• Small Shifts, Big Impact: Elevate Your Leadership, Knowledge @ Wharton - 01/28/2025