exploring random landscapes

Pick anything below and it plays in the bar at the foot of the window — and keeps playing while you go on browsing the directory.

1. 1▶Introductory lectures on first-order convex optimization (Lecture 2) by Praneeth NetrapalliStatistical Physics of Machine Learning 2020Notes
   +Watch later
2. 2▶Exploring the random landscapes of inference (Lecture 1) by Gérard Ben ArousStatistical Physics of Machine Learning 2020Notes
   +Watch later
3. 3▶Approximate Message Passing for Statistical Inference and Estimation by Cynthia RushStatistical Physics of Machine Learning 2020Notes
   +Watch later
4. 4▶How to Escape Saddle Points Efficiently by Praneeth NetrapalliStatistical Physics of Machine Learning 2020Notes
   +Watch later
5. 5▶Data assimilation and machine learning by Serge GrattonStatistical Physics of Machine Learning 2020Notes
   +Watch later
6. 6▶Exploring the random landscapes of inference (Lecture 3) by Gérard Ben ArousStatistical Physics of Machine Learning 2020Notes
   +Watch later
7. 7▶Analyses of gradient methods for the optimization of wide two layer by Lenaic ChizatStatistical Physics of Machine Learning 2020Notes
   +Watch later
8. 8▶Optimization with inexact gradient and function by Serge GrattonStatistical Physics of Machine Learning 2020Notes
   +Watch later
9. 9▶Zeros of polynomials, decay of correlations, and algorithms by Piyush SrivastavaStatistical Physics of Machine Learning 2020Notes
   +Watch later
10. 10▶Exploring the random landscapes of inference (Lecture 2) by Gérard Ben ArousStatistical Physics of Machine Learning 2020Notes
    +Watch later
11. 11▶Function Entropy in Deep-Learning Networks – Mean Field Behaviour and Large... by David SaadStatistical Physics of Machine Learning 2020Notes
    +Watch later
12. 12▶Restricted Boltzmann Machines: Stastical Physics and applications... by Simona CoccoStatistical Physics of Machine Learning 2020Notes
    +Watch later
13. 13▶Random concave functions on an equilateral lattice with periodic hessians by Hariharan NarayananStatistical Physics of Machine Learning 2020Notes
    +Watch later
14. 14▶Unraveling the mysteries of stochastic gradient descent for deep...  by Pratik ChaudhariStatistical Physics of Machine Learning 2020Notes
    +Watch later
15. 15▶Introductory lectures on first-order convex optimization (Lecture 1) by Praneeth NetrapalliStatistical Physics of Machine Learning 2020Notes
    +Watch later