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On the Equilibrium of Query Reformulation and Document Retrieval., , , , и . ICTIR, стр. 43-50. ACM, (2018)Energy-Based Imitation Learning., , , и . CoRR, (2020)Lipschitz Generative Adversarial Nets., , , , , , , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 7584-7593. PMLR, (2019)AdaShift: Decorrelation and Convergence of Adaptive Learning Rate Methods., , , , , и . ICLR (Poster), OpenReview.net, (2019)Towards Efficient and Unbiased Implementation of Lipschitz Continuity in GANs., , , , и . CoRR, (2019)Generative Adversarial Nets for Information Retrieval: Fundamentals and Advances.. SIGIR, стр. 1375-1378. ACM, (2018)SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient., , , и . CoRR, (2016)Learning to Retrieve User Behaviors for Click-through Rate Estimation., , , , , , , , , и . ACM Trans. Inf. Syst., 41 (4): 98:1-98:31 (октября 2023)Who to Watch Next: Two-side Interactive Networks for Live Broadcast Recommendation., , , , , , , и . WWW, стр. 3206-3216. ACM, (2022)Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance., , , , , , , , , и . KDD, стр. 4003-4012. ACM, (2023)