CMU ML Blog

blog.ml.cmu.edu · Company blog · on HN since 2018

The Machine Learning Department at Carnegie Mellon University publishes research posts on deep learning theory, reinforcement learning, fairness, and optimization.

What HN saysHN links it for CMU research posts; one commenter cites a post on screen parsing in a thread about Apple's AI research on user interfaces.
16HN people shared it
1linked it in comments
25stories submitted
243story points
4 months agolast shared
2018people per year2026

Most-shared posts

  1. 1
    Ultra-Wide Deep Nets and the Neural Tangent Kernel (NTK)
    2 people · 7 points · first shared 2019 · discussion on HN
  2. 2
    Building Machine Learning Models via Comparisons
    2 people · 6 points · first shared 2019 · discussion on HN
  3. 3
    Learning from failure to tackle hard problems
    1 people · 125 points · first shared 2025 · 26 comments on HN
  4. 4
  5. 5
    Path Length Bounds for Gradient Descent
    1 people · 4 points · first shared 2019 · discussion on HN
  6. 6
    Inherent Tradeoffs in Learning Fair Representations
    1 people · 3 points · first shared 2020 · discussion on HN
  7. 7
  8. 8
    Learning DAGs with Continuous Optimization
    1 people · 3 points · first shared 2021 · discussion on HN
  9. 9
    Counterfactual predictions under runtime confounding
    1 people · 2 points · first shared 2021 · discussion on HN
  10. 10
    Massively Parallel Hyperparameter Optimization
    1 people · 2 points · first shared 2018 · discussion on HN
  11. 11
    An Inferential Perspective on Federated Learning
    1 people · 2 points · first shared 2021 · discussion on HN
  12. 12
    Experiments with the ICML 2020 Peer-Review Process
    1 people · 2 points · first shared 2020 · discussion on HN
  13. 13
  14. 14
    Regret Circuits: Composability of Regret Minimizers
    1 people · 1 points · first shared 2019 · discussion on HN
  15. 15

What HN people wrote when they linked it

tjean_z · 2023-12-12
Apple has published research on using AI to clone apps. It can't get worse source: https://blog.ml.cmu.edu/2021/12/10/understanding-user-interfaces-with-…

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