This highlights the importance of understanding what we can do efficiently on such non-convex, non-smooth optimization problems. In this talk, I'll describe ...
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Oct 21, 2024 · Our findings demonstrate the clear advantages of utilizing quantum techniques for non-convex non-smooth optimization, as they outperform the ...
Missing: Elephant Room:
Duration: 1:05:28
Posted: May 19, 2022
Posted: May 19, 2022
Missing: Elephant Room:
Jan 29, 2021 · Are there "generaled (stochastic?) gradient-descent type algorithms which can optimize non-smooth and non-convex functions? reference-request ...
Missing: Elephant Room:
Feb 9, 2024 · It's not GPT-4 that struggles with negatives, it's Dall-E. GPT probably didn't include elephant in the prompt.
In this paper, an improved orthogonal design particle swarm optimization (IODPSO) algorithm is presented for solving the single-area and multi-area ELD problems ...
The elephant in the room: Nonsmooth, nonconvex optimization min x∈Rp f(x). ◦ Finding a stationary point of nonsmooth nonconvex minimization problems are ...
Elephant in the Room: Non-Smooth Non-Convex OptimizationOhad Shamir. [doi] · Tetrahedral Picture Languages and their Applications in ImagingT. Kalyani, F ...
A robust gradient sampling algorithm for nonsmooth, nonconvex optimization, with Michael Overton and Adrian Lewis, SIAM J. Optimization, 15(2005) 751-779.
Missing: Elephant Room:
We will focus on problems that arise in machine learning and modern data analysis, paying attention to concerns about complexity, robustness, and implementation ...