| 2024 | Online multiple testing with e-values. | Ziyu Xu, Aaditya Ramdas |
| 2024 | A/B Testing and Best-arm Identification for Linear Bandits with Robustness to Non-stationarity. | Zhihan Xiong, Romain Camilleri, Maryam Fazel, Lalit Jain, Kevin Jamieson |
| 2024 | Distributionally Robust Quickest Change Detection using Wasserstein Uncertainty Sets. | Liyan Xie, Yuchen Liang, Venugopal V. Veeravalli |
| 2024 | A Neural Architecture Predictor based on GNN-Enhanced Transformer. | Xunzhi Xiang, Kun Jing, Jungang Xu |
| 2024 | Surrogate Active Subspaces for Jump-Discontinuous Functions. | Nathan Wycoff |
| 2024 | Large-Scale Gaussian Processes via Alternating Projection. | Kaiwen Wu, Jonathan Wenger, Haydn Thomas Jones, Geoff Pleiss, Jacob R. Gardner |
| 2024 | Posterior Uncertainty Quantification in Neural Networks using Data Augmentation. | Luhuan Wu, Sinead A. Williamson |
| 2024 | Data-Adaptive Probabilistic Likelihood Approximation for Ordinary Differential Equations. | Mohan Wu, Martin Lysy |
| 2024 | On the estimation of persistence intensity functions and linear representations of persistence diagrams. | Weichen Wu, Jisu Kim, Alessandro Rinaldo |
| 2024 | Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes. | Dongxia Wu, Tsuyoshi Id, Georgios Kollias, Jir Navrtil, Aurlie C. Lozano, Naoki Abe, Yi-An Ma, Rose Yu |
| 2024 | Unsupervised Change Point Detection in Multivariate Time Series. | Daoping Wu, Suhas Gundimeda, Shaoshuai Mou, Christopher J. Quinn |
| 2024 | Robust Data Clustering with Outliers via Transformed Tensor Low-Rank Representation. | Tong Wu |
| 2024 | An Analytic Solution to Covariance Propagation in Neural Networks. | Oren Wright, Yorie Nakahira, Jos M. F. Moura |
| 2024 | Quantized Fourier and Polynomial Features for more Expressive Tensor Network Models. | Frederiek Wesel, Kim Batselier |
| 2024 | Tensor-view Topological Graph Neural Network. | Tao Wen, Elynn Y. Chen, Yuzhou Chen |
| 2024 | Fast Fourier Bayesian Quadrature. | Houston Warren, Fabio Ramos |
| 2024 | FairRR: Pre-Processing for Group Fairness through Randomized Response. | Joshua John Ward, Xianli Zeng, Guang Cheng |
| 2024 | Don't Be Pessimistic Too Early: Look K Steps Ahead! | Chaoqi Wang, Ziyu Ye, Kevin Murphy, Yuxin Chen |
| 2024 | Near-Optimal Convex Simple Bilevel Optimization with a Bisection Method. | Jiulin Wang, Xu Shi, Rujun Jiang |
| 2024 | Near-Interpolators: Rapid Norm Growth and the Trade-Off between Interpolation and Generalization. | Yutong Wang, Rishi Sonthalia, Wei Hu |
| 2024 | Efficient Data Shapley for Weighted Nearest Neighbor Algorithms. | Jiachen T. Wang, Prateek Mittal, Ruoxi Jia |
| 2024 | On cyclical MCMC sampling. | Liwei Wang, Xinru Liu, Aaron Smith, Aguemon Y. Atchad |
| 2024 | Oracle-Efficient Pessimism: Offline Policy Optimization In Contextual Bandits. | Lequn Wang, Akshay Krishnamurthy, Alex Slivkins |
| 2024 | Optimal estimation of Gaussian (poly)trees. | Yuhao Wang, Ming Gao, Wai Ming Tai, Bryon Aragam, Arnab Bhattacharyya |
| 2024 | Joint control variate for faster black-box variational inference. | Xi Wang, Tomas Geffner, Justin Domke |