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Found 2 papers, 1 papers with code
On PI Controllers for Updating Lagrange Multipliers in Constrained Optimization
We provide theoretical and empirical insights explaining the inability of momentum methods to address the shortcomings of gradient descent-ascent, and contrast this with the empirical success of our proposed $\nu$PI controller.
Efficient and Adaptive Posterior Sampling Algorithms for Bandits
We study Thompson Sampling-based algorithms for stochastic bandits with bounded rewards.
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