Publication CoSe-Co: Text Conditioned Generative CommonSense Contextualizer Rachit Bansal, Milan Aggarwal, Sumit Bhatia, Jivat Neet Kaur, Balaji Krishnamurthy NAACL 2022 | July 2022
Publication Provable Reinforcement Learning with a Short-Term Memory Yonathan Efroni, Chi Jin, Akshay Krishnamurthy, Sobhan Miryoosefi ICML 2022 | July 2022
Publication Personalization Improves Privacy-Accuracy Tradeoffs in Federated Optimization Alberto Bietti, Chen-Yu Wei, Miro Dudík, John Langford, Steven Wu ICML 2022 | July 2022
Publication Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments Anqi Zhang, Jinkun Lin, Aurojit Panda, Jinyang Li, Mathias Lécuyer, Siddhartha Sen ICML 2022 | July 2022
Publication Matching Learned Causal Effects of Neural Networks with Domain Priors Sai Srinivas Kancheti, Abbavaram Gowtham Reddy, Vineeth N Balasubramainan, Amit Sharma ICML 2022 | July 2022 Project
Publication Gating Dropout: Communication-efficient Regularization for Sparsely Activated Transformers Rui Liu, Young Jin Kim, Alexandre Muzio, Hany Hassan Awadalla ICML 2022 | July 2022 Project
Publication Finding Global Homophily in Graph Neural Networks When Meeting Heterophily Xiang Li, Renyu Zhu, Yao Cheng, Caihua Shan, Siqiang Luo, Dongsheng Li, Weining Qian ICML 2022 | July 2022
Publication Bayesian Nonparametric Learning for Point Processes with Spatial Homogeneity: A Spatial Analysis of NBA Shot Locations Fan Yin, Jieying Jiao, Guanyu Hu, Jun Yan ICML 2022 | July 2022
Publication On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces Amrit Singh Bedi, Souradip Chakraborty, Anjaly Parayil, Brian Sadler, Pratap Tokekar, Alec Koppel ICML 2022 | July 2022
Publication Thompson Sampling for (Combinatorial) Pure Exploration Siwei Wang, Jun Zhu International Conference on Machine Learning | July 2022