Risultati della ricerca - Han, Yanjun

Sharp mean-field analysis of permutation mixtures and permutation-invariant decisions di Liang, Yiguo, Han, Yanjun

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Interactive Learning of Single-Index Models via Stochastic Gradient Descent di Rajaraman, Nived, Han, Yanjun

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Approximate independence of permutation mixtures di Han, Yanjun, Niles-Weed, Jonathan

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Optimal No-regret Learning in Repeated First-price Auctions di Han, Yanjun, Zhou, Zhengyuan, Weissman, Tsachy

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Stochastic contextual bandits with graph feedback: from independence number to MAS number di Wen, Yuxiao, Han, Yanjun, Zhou, Zhengyuan

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Prediction from compression for models with infinite memory, with applications to hidden Markov and renewal processes di Han, Yanjun, Jiang, Tianze, Wu, Yihong

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Joint Value Estimation and Bidding in Repeated First-Price Auctions di Wen, Yuxiao, Han, Yanjun, Zhou, Zhengyuan

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Evolution of Information in Interactive Decision Making: A Case Study for Multi-Armed Bandits di Gu, Yuzhou, Han, Yanjun, Qian, Jian

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Optimal Arm Elimination Algorithms for Combinatorial Bandits di Wen, Yuxiao, Han, Yanjun, Zhou, Zhengyuan

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An Empirical Bayes Perspective on Heteroskedastic Mean Estimation di Han, Yanjun, Shetty, Abhishek, Shkrob, Jacob

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Minimax optimal testing by classification di Gerber, Patrik Róbert, Han, Yanjun, Polyanskiy, Yury

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Statistical Complexity and Optimal Algorithms for Non-linear Ridge Bandits di Rajaraman, Nived, Han, Yanjun, Jiao, Jiantao, Ramchandran, Kannan

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Learning and Collusion in Multi-unit Auctions di Brânzei, Simina, Derakhshan, Mahsa, Golrezaei, Negin, Han, Yanjun

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Universal priors: solving empirical Bayes via Bayesian inference and pretraining di Cannella, Nick, Teh, Anzo, Han, Yanjun, Polyanskiy, Yury

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Online Estimation via Offline Estimation: An Information-Theoretic Framework di Foster, Dylan J., Han, Yanjun, Qian, Jian, Rakhlin, Alexander

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Causal Inference with High-dimensional Discrete Covariates di Zeng, Zhenghao, Balakrishnan, Sivaraman, Han, Yanjun, Kennedy, Edward H.

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Besting Good--Turing: Optimality of Non-Parametric Maximum Likelihood for Distribution Estimation di Han, Yanjun, Niles-Weed, Jonathan, Shen, Yandi, Wu, Yihong

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Learning to Bid Optimally and Efficiently in Adversarial First-price Auctions di Han, Yanjun, Zhou, Zhengyuan, Flores, Aaron, Ordentlich, Erik, Weissman, Tsachy

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On the Statistical Complexity of Sample Amplification di Axelrod, Brian, Garg, Shivam, Han, Yanjun, Sharan, Vatsal, Valiant, Gregory

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The (Marginal) Value of a Search Ad: An Online Causal Framework for Repeated Second-price Auctions di Wen, Yuxiao, Hu, Zihao, Han, Yanjun, Yao, Yuan, Zhou, Zhengyuan

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