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math.ST2023
Minimax optimal testing by classification
Patrik Róbert Gerber, Yanjun Han, Yury Polyanskiy
This paper considers an ML inspired approach to hypothesis testing known as classifier/classification-accuracy testing (). In , one first trains a class…
cs.GT2023
Learning and Collusion in Multi-unit Auctions
Simina Brânzei, Mahsa Derakhshan, Negin Golrezaei +1
We consider repeated multi-unit auctions with uniform pricing, which are widely used in practice for allocating goods such as carbon licenses. In each round, identical units of…