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Lipschitz Generative Adversarial Nets., , , , , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 7584-7593. PMLR, (2019)AdaShift: Decorrelation and Convergence of Adaptive Learning Rate Methods., , , , , and . ICLR (Poster), OpenReview.net, (2019)Towards Efficient and Unbiased Implementation of Lipschitz Continuity in GANs., , , , and . CoRR, (2019)Generative Adversarial Nets for Information Retrieval: Fundamentals and Advances.. SIGIR, page 1375-1378. ACM, (2018)Learning to Retrieve User Behaviors for Click-through Rate Estimation., , , , , , , , , and . ACM Trans. Inf. Syst., 41 (4): 98:1-98:31 (October 2023)Lending Interaction Wings to Recommender Systems with Conversational Agents., , , , , , , and . CoRR, (2023)A Method for User Avatar Authenticity Based on Multi-feature Fusion., , and . CCIR, volume 11772 of Lecture Notes in Computer Science, page 148-160. Springer, (2019)On the Equilibrium of Query Reformulation and Document Retrieval., , , , and . ICTIR, page 43-50. ACM, (2018)Energy-Based Imitation Learning., , , and . CoRR, (2020)SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient., , , and . CoRR, (2016)