Publication Only Train Once: A One-Shot Neural Network Training And Pruning Framework Tianyi Chen, Bo Ji, Tianyu Ding, Biyi Fang, Guanyi Wang, Zhihui Zhu, Luming Liang, Yixin Shi, Sheng Yi, , Xiao Tu NeurIPS 2021 | December 2021
Publication Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods Desislava Ivanova, Adam Foster, Steven Kleinegesse, Michael Gutmann, Thomas Rainforth NeurIPS 2021 | December 2021
Publication Do Input Gradients Highlight Discriminative Features? Harshay Shah, Prateek Jain, Praneeth Netrapalli NeurIPS 2021 | December 2021
Publication A single gradient step finds adversarial examples on random two-layers neural networks Sébastien Bubeck, Yeshwanth Cherapanamjeri, Gauthier Gidel, Remi Tachet des Combes NeurIPS 2021 | December 2021
Publication Adversarial Examples in Multi-Layer Random ReLU Networks Peter Bartlett, Sébastien Bubeck, Yeshwanth Cherapanamjeri NeurIPS 2021 | December 2021
Publication Recovering Latent Causal Factor for Generalization to Distributional Shifts Xinwei Sun, Botong Wu, Xiangyu Zheng, Chang Liu, Wei Chen, Tao Qin, Tie-Yan Liu NeurIPS 2021 | December 2021
Publication Neural Pseudo-Label Optimism for the Bank Loan Problem Aldo Pacchiano, Shaun Singh, Alex Berg, Jakob Foerster NeurIPS 2021 | December 2021
Publication BayesIMP: Uncertainty Quantification for Causal Data Fusion Siu Lun Chau, Jean-Francois Ton, Javier González, Yee The, Dino Sejdinovic Neural Information Processing Systems (NeurIPS 2021) | December 2021
Publication Combinatorial Pure Exploration with Bottleneck Reward Function Yihan Du, Yuko Kuroki, Wei Chen Proceedings of the 34th Conference on Neural Information Processing Systems (NeurIPS) | December 2021
Publication The Hardness Analysis of Thompson Sampling for Combinatorial Semi-bandits with Greedy Oracle Fang Kong, Yueran Yang, Wei Chen, Shuai Li Proceedings of the 34th Conference on Neural Information Processing Systems (NeurIPS) | December 2021