Papers
Hierarchical Text Generation and Planning for Strategic Dialogue
Denis Yarats, Mike Lewis
Yes, but Did It Work?: Evaluating Variational Inference
Yuling Yao, Aki Vehtari, Daniel Simpson et al.
Mean Field Multi-Agent Reinforcement Learning
Yaodong Yang, Rui Luo, Minne Li et al.
Goodness-of-Fit Testing for Discrete Distributions via Stein Discrepancy
Jiasen Yang, Qiang Liu, Vinayak Rao et al.
Dependent Relational Gamma Process Models for Longitudinal Networks
Sikun Yang, Heinz Koeppl
Characterizing and Learning Equivalence Classes of Causal DAGs under Interventions
Karren Yang, Abigail Katcoff, Caroline Uhler
Binary Classification with Karmic, Threshold-Quasi-Concave Metrics
Bowei Yan, Sanmi Koyejo, Kai Zhong et al.
Active Learning with Logged Data
Songbai Yan, Kamalika Chaudhuri, Tara Javidi
Causal Bandits with Propagating Inference
Akihiro Yabe, Daisuke Hatano, Hanna Sumita et al.
A Semantic Loss Function for Deep Learning with Symbolic Knowledge
Jingyi Xu, Zilu Zhang, Tal Friedman et al.
Continuous and Discrete-time Accelerated Stochastic Mirror Descent for Strongly Convex Functions
Pan Xu, Tianhao Wang, Quanquan Gu
Optimal Tuning for Divide-and-conquer Kernel Ridge Regression with Massive Data
Ganggang Xu, Zuofeng Shang, Guang Cheng
Nonparametric Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information
Yichong Xu, Hariank Muthakana, Sivaraman Balakrishnan et al.
Learning to Explore via Meta-Policy Gradient
Tianbing Xu, Qiang Liu, Liang Zhao et al.
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu, Chengtao Li, Yonglong Tian et al.
Learning Registered Point Processes from Idiosyncratic Observations
Hongteng Xu, Lawrence Carin, Hongyuan Zha
Learning Semantic Representations for Unsupervised Domain Adaptation
Shaoan Xie, Zibin Zheng, Liang Chen et al.
Nonoverlap-Promoting Variable Selection
Pengtao Xie, Hongbao Zhang, Yichen Zhu et al.
Orthogonality-Promoting Distance Metric Learning: Convex Relaxation and Theoretical Analysis
Pengtao Xie, Wei Wu, Yichen Zhu et al.
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10,000-Layer Vanilla Convolutional Neural Networks
Lechao Xiao, Yasaman Bahri, Jascha Sohl-Dickstein et al.
Model-Level Dual Learning
Yingce Xia, Xu Tan, Fei Tian et al.
Bayesian Quadrature for Multiple Related Integrals
Xiaoyue Xi, Francois-Xavier Briol, Mark Girolami
Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions
Junru Wu, Yue Wang, Zhenyu Wu et al.