Statistical Learning
Adaptive SGD with Polyak stepsize and Line-search: Robust Convergence and Variance Reduction
Neural Information Processing Systems
The recently proposed stochastic Polyak stepsize (SPS) and stochastic line-search (SLS) for SGD have shown remarkable effectiveness when training over-parameterized models. However, two issues remain unsolved in this line of work.
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Thompson Sampling for Multinomial Logit Contextual Bandits
Neural Information Processing Systems
Neural Information Processing Systems http://nips.cc/
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Semi-Parametric Dynamic Contextual Pricing
Virag Shah, Ramesh Johari, Jose Blanchet
Neural Information Processing Systems
Now, let F(z)= zP(Z1 z). This, togetherwithcompactnessofX and , implies A3.
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