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    Raghu Meka
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    Last edited by Raghu Meka on Feb 28, 2025
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Raghu Meka

HOME RESEARCH TEACHING

Here are the courses I have taught or will in the future.

  • CS181: Introduction to Theory of Computing
    Fall 2023, Fall 2022, Fall 2021, Fall 2020
  • CS260B: Algorithmic Machine Learning (Spring 25)
    Spring 24, Spring 23, Spring 2021, Fall 2017, Fall, 2016; Winter, 2016.
  • CS289: Great Theory Hits of 21st Century
    Winter 2023, Winter 2021, Winter 2018
  • CS180: Algorithms and Complexity
    Spring 2018, Winter 2017; Spring 2015
  • CS289A: Pseudorandomness and explicit constructions
    Spring 2017; Winter, 2016.
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Algorithmic Machine Learning Spring 2025

In this course we will look at a handful of ubiquitous algorithms in machine learning. We will cover several classical tools in machine learning but more emphasis will be given to recent advances and developing efficient and provable algorithms for learning tasks. A tentative syllabus/schedule can be found below; the topics may change based on student interests as well. You can also check last year's course notes for a more details about what's to come.

May 19, 2025
Raghu Meka

raghum@cs.ucla.***, Engineering VI 463.

Apr 9, 2025
Research

My main interests are in complexity theory, learning theory, algorithm design. More generally, I like probability and combinatorics related things. The best resource for up to date publications really is to look up my profile on Google scholar.

Aug 27, 2024
Algorithmic Machine Learning

In this course we will look at a handful of ubiquitous algorithms in machine learning. We will cover several classical tools in machine learning but more emphasis will be given to recent advances and developing efficient and provable algorithms for learning tasks. A tentative syllabus/schedule can be found below; the topics may change based on student interests as well. You can also check last year's course notes for a more details about what's to come.

May 20, 2024
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