Publication Asymptotics of the Bootstrap via Stability with Applications to Inference with Model Selection Morgane Austern, Vasilis Syrgkanis NeurIPS 2021 | December 2021
Publication PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning Tao Yu, Cuiling Lan, Wenjun Zeng, Mingxiao Feng, Zhizheng Zhang, Zhibo Chen NeurIPS 2021 | December 2021
Publication Latent Matters: Learning Deep State-Space Models Alexej Klushyn, Richard Kurle, Maximilian Soelch, Botond Cseke, Patrick van der Smagt December 2021
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