Xie, Yao

38 publications

ICML 2025 Annealing Flow Generative Models Towards Sampling High-Dimensional and Multi-Modal Distributions Dongze Wu, Yao Xie

AISTATS 2025 Computing High-Dimensional Optimal Transport by Flow Neural Networks Chen Xu, Xiuyuan Cheng, Yao Xie

CVPR 2025 Consistency Posterior Sampling for Diverse Image Synthesis Vishal Purohit, Matthew Repasky, Jianfeng Lu, Qiang Qiu, Yao Xie, Xiuyuan Cheng

ICLR 2025 Kernel-Based Optimally Weighted Conformal Time-Series Prediction Jonghyeok Lee, Chen Xu, Yao Xie

TMLR 2025 Neural Spatiotemporal Point Processes: Trends and Challenges Sumantrak Mukherjee, Mouad Elhamdi, George Mohler, David Antony Selby, Yao Xie, Sebastian Josef Vollmer, Gerrit Großmann

ICLR 2025 Nonlinear Sequence Embedding by Monotone Variational Inequality Jonathan Yuyang Zhou, Yao Xie

ICML 2025 Statistical and Computational Guarantees of Kernel Max-Sliced Wasserstein Distances Jie Wang, March Boedihardjo, Yao Xie

ICML 2024 Conformal Prediction for Multi-Dimensional Time Series by Ellipsoidal Sets Chen Xu, Hanyang Jiang, Yao Xie

ICMLW 2024 Transformer Conformal Prediction for Time Series Junghwan Lee, Chen Xu, Yao Xie

NeurIPSW 2023 An Alternative Approach to Train Neural Networks Using Monotone Variational Inequality Chen Xu, Xiuyuan Cheng, Yao Xie

NeurIPSW 2023 Computing High-Dimensional Optimal Transport by Flow Neural Networks Chen Xu, Xiuyuan Cheng, Yao Xie

NeurIPS 2023 Contextual Stochastic Bilevel Optimization Yifan Hu, Jie Wang, Yao Xie, Andreas Krause, Daniel Huhn

NeurIPSW 2023 Deep Graph Kernel Point Processes Zheng Dong, Matthew Repasky, Xiuyuan Cheng, Yao Xie

NeurIPSW 2023 Flow-Based Distributionally Robust Optimization Chen Xu, Jonghyeok Lee, Xiuyuan Cheng, Yao Xie

NeurIPS 2023 Normalizing Flow Neural Networks by JKO Scheme Chen Xu, Xiuyuan Cheng, Yao Xie

NeurIPSW 2023 Normalizing Flow Neural Networks by JKO Scheme Chen Xu, Xiuyuan Cheng, Yao Xie

ICML 2023 Sequential Predictive Conformal Inference for Time Series Chen Xu, Yao Xie

ICLR 2023 Spatio-Temporal Point Processes with Deep Non-Stationary Kernels Zheng Dong, Xiuyuan Cheng, Yao Xie

ICMLW 2023 Transfer Causal Learning: Causal Effect Estimation with Knowledge Transfer Song Wei, Ronald Moore, Hanyu Zhang, Yao Xie, Rishikesan Kamaleswaran

NeurIPSW 2023 Unfairness Detection Within Power Systems Through Transfer Counterfactual Learning Song Wei, Xiangrui Kong, Sarah Ann Huestis-Mitchell, Yao Xie, Shixiang Zhu, Alinson Santos Xavier, Feng Qiu

AISTATS 2022 Two-Sample Test with Kernel Projected Wasserstein Distance Jie Wang, Rui Gao, Yao Xie

NeurIPS 2022 Distributionally Robust Weighted K-Nearest Neighbors Shixiang Zhu, Liyan Xie, Minghe Zhang, Rui Gao, Yao Xie

NeurIPSW 2022 Information Recovery via Matrix Completion for Piezoresponse Force Microscopy Data Henry Yuchi, Kerisha Nicole Williams, Gardy K Ligonde, Matthew Repasky, Yao Xie, Nazanin Bassiri-Gharb

NeurIPSW 2022 Invertible Neural Networks for Graph Prediction Chen Xu, Xiuyuan Cheng, Yao Xie

ICLR 2022 Neural Spectral Marked Point Processes Shixiang Zhu, Haoyun Wang, Zheng Dong, Xiuyuan Cheng, Yao Xie

AISTATS 2021 Deep Fourier Kernel for Self-Attentive Point Processes Shixiang Zhu, Minghe Zhang, Ruyi Ding, Yao Xie

AISTATS 2021 Goodness-of-Fit Test for Mismatched Self-Exciting Processes Song Wei, Shixiang Zhu, Minghe Zhang, Yao Xie

ICML 2021 Conformal Prediction Interval for Dynamic Time-Series Chen Xu, Yao Xie

ICML 2021 Inferring Serial Correlation with Dynamic Backgrounds Song Wei, Yao Xie, Dobromir Rahnev

NeurIPS 2021 Neural Tangent Kernel Maximum Mean Discrepancy Xiuyuan Cheng, Yao Xie

ICLRW 2021 Online High-Dimensional Change-Point Detection Using Topological Data Analysis Xiaojun Zheng, Simon Mak, Yao Xie

ICML 2020 Temporal Logic Point Processes Shuang Li, Lu Wang, Ruizhi Zhang, Xiaofu Chang, Xuqin Liu, Yao Xie, Yuan Qi, Le Song

NeurIPS 2020 Uncertainty Quantification for Inferring Hawkes Networks Haoyun Wang, Liyan Xie, Alex Cuozzo, Simon Mak, Yao Xie

AISTATS 2019 Nearly Optimal Adaptive Procedure with Change Detection for Piecewise-Stationary Bandit Yang Cao, Zheng Wen, Branislav Kveton, Yao Xie

NeurIPS 2018 Learning Temporal Point Processes via Reinforcement Learning Shuang Li, Shuai Xiao, Shixiang Zhu, Nan Du, Yao Xie, Le Song

AISTATS 2018 Nearly Second-Order Optimality of Online Joint Detection and Estimation via One-Sample Update Schemes Yang Cao, Liyan Xie, Yao Xie, Huan Xu

NeurIPS 2018 Robust Hypothesis Testing Using Wasserstein Uncertainty Sets Rui Gao, Liyan Xie, Yao Xie, Huan Xu

NeurIPS 2015 M-Statistic for Kernel Change-Point Detection Shuang Li, Yao Xie, Hanjun Dai, Le Song