Wang, Eric

9 publications

ICML 2024 Relaxing the Accurate Imputation Assumption in Doubly Robust Learning for Debiased Collaborative Filtering Haoxuan Li, Chunyuan Zheng, Shuyi Wang, Kunhan Wu, Eric Wang, Peng Wu, Zhi Geng, Xu Chen, Xiao-Hua Zhou

NeurIPS 2024 Retrospective for the Dynamic Sensorium Competition for Predicting Large-Scale Mouse Primary Visual Cortex Activity from Videos Polina Turishcheva, Paul G. Fahey, Michaela Vystrčilová, Laura Hansel, Rachel Froebe, Kayla Ponder, Yongrong Qiu, Konstantin F. Willeke, Mohammad Bashiri, Ruslan Baikulov, Yu Zhu, Lei Ma, Shan Yu, Tiejun Huang, Bryan M. Li, Wolf De Wulf, Nina Kudryashova, Matthias H. Hennig, Nathalie L. Rochefort, Arno Onken, Eric Wang, Zhiwei Ding, Andreas S. Tolias, Fabian H. Sinz, Alexander S. Ecker

ICLR 2023 Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve Juhan Bae, Michael R. Zhang, Michael Ruan, Eric Wang, So Hasegawa, Jimmy Ba, Roger Baker Grosse

UAI 2022 Neuro-Symbolic Entropy Regularization Kareem Ahmed, Eric Wang, Kai-Wei Chang, Guy Broeck

ICLR 2021 Generalization in Data-Driven Models of Primary Visual Cortex Konstantin-Klemens Lurz, Mohammad Bashiri, Konstantin Willeke, Akshay Jagadish, Eric Wang, Edgar Y. Walker, Santiago A Cadena, Taliah Muhammad, Erick Cobos, Andreas S. Tolias, Alexander S Ecker, Fabian H. Sinz

IJCAI 2021 Probabilistic Sufficient Explanations Eric Wang, Pasha Khosravi, Guy Van den Broeck

ICLR 2019 Stochastic Optimization of Sorting Networks via Continuous Relaxations Aditya Grover, Eric Wang, Aaron Zweig, Stefano Ermon

NeurIPS 2010 Joint Analysis of Time-Evolving Binary Matrices and Associated Documents Eric Wang, Dehong Liu, Jorge Silva, Lawrence Carin, David B. Dunson

ICML 2008 Hierarchical Kernel Stick-Breaking Process for Multi-Task Image Analysis Qi An, Chunping Wang, Ivo Shterev, Eric Wang, Lawrence Carin, David B. Dunson