Efficient Bayesian Regularization

bcbeckman · January 22, 2024, 2:37am

wolframcommunity · January 22, 2024, 7:39pm

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mkelly · January 23, 2024, 4:46am

Thanks Brian for your brilliant exposition of Bayesian optimization using recurrence and comparison with alternate methods of linear regression. I like your warnings about using matrix multiplication, which is always the slowest part in many algorithms, especially with ML. However DeepMind’s AI program AlphaTensor has recently discovered quicker methods than Strassen’s algorithm, see AI Reveals New Possibilities in Matrix Multiplication | Quanta Magazine

bcbeckman · January 23, 2024, 2:28pm

The Deep-Mind results are excellent! Thank you! They used reinforcement learning to find their algorithms. In an amusing twist, my little article has a recurrent approach to Policy-Gradient that could sidestep some matrix multiplication in RL itself.

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Efficient Bayesian Regularization

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