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cs.LG2025
The Fenchel-Young Generalization of Bayesian Principles
Sophia Sklaviadis, Thomas Moellenhoff, Andre Martins +2
Conjugate Bayes plays a key role in machine learning, ensuring computationally simple posterior updates. We generalize the variational principle behind this computation by using th…
cs.LG2025
Optimization Landscapes Learned: Proxy Networks Boost Convergence in Physics-based Inverse Problems
Girnar Goyal, Philipp Holl, Sweta Agrawal +1
Solving inverse problems in physics is central to understanding complex systems and advancing technologies in various fields. Iterative optimization algorithms, commonly used to so…