Approximate Leave-One-Out for Fast Parameter Tuning in High Dimensions. - Shuaiwen Wang; Wenda Zhou; Haihao Lu; Arian Maleki; Vahab S. Mirrokni (ICML, 2018)

Compressibility and Generalization in Large-Scale Deep Learning. - Wenda Zhou; Victor Veitch; Morgane Austern; Ryan P. Adams; Peter Orbanz (CoRR, 2018)

Approximate Leave-One-Out for High-Dimensional Non-Differentiable Learning Problems. - Shuaiwen Wang; Wenda Zhou; Arian Maleki; Haihao Lu; Vahab S. Mirrokni (CoRR, 2018)

Empirical Risk Minimization and Stochastic Gradient Descent for Relational Data. - Victor Veitch; Morgane Austern; Wenda Zhou; David M. Blei; Peter Orbanz (AISTATS, 2019)

Non-vacuous Generalization Bounds at the ImageNet Scale: a PAC-Bayesian Compression Approach. - Wenda Zhou; Victor Veitch; Morgane Austern; Ryan P. Adams; Peter Orbanz (ICLR (Poster), 2019)

Towards theoretically-founded learning-based denoising. - Wenda Zhou; Shirin Jalali (ISIT, 2019)

Discrete Object Generation with Reversible Inductive Construction. - Ari Seff; Wenda Zhou; Farhan N. Damani; Abigail G. Doyle; Ryan P. Adams (NeurIPS, 2019)

Denoising of structured random processes. - Wenda Zhou; Shirin Jalali (CoRR, 2019)

Error bounds in estimating the out-of-sample prediction error using leave-one-out cross validation in high-dimensions. - Kamiar Rahnama Rad; Wenda Zhou; Arian Maleki (AISTATS, 2020)

SketchGraphs: A Large-Scale Dataset for Modeling Relational Geometry in Computer-Aided Design. - Ari Seff; Yaniv Ovadia; Wenda Zhou; Ryan P. Adams (CoRR, 2020)

Autobahn: Automorphism-based Graph Neural Nets. - Erik H. Thiede; Wenda Zhou; Risi Kondor (NeurIPS, 2021)

Vitruvion: A Generative Model of Parametric CAD Sketches. - Ari Seff; Wenda Zhou; Nick Richardson; Ryan P. Adams (ICLR, 2022)

Deep Learning for Automatic Detection of Recurrent Retinal Detachment after Surgery Using Ultra-Widefield Fundus Images: A Single-Center Study. - Wenda Zhou; Li Dong; Kai Zhang; Qian Wang; Lei Shao; Qiong Yang; Yueming Liu; Li-Jian Fang; Xu-Han Shi; Chuan Zhang; Ruiheng Zhang; He-Yan Li; et al. (Adv. Intell. Syst., 2022)

Compressed Sensing in the Presence of Speckle Noise. - Wenda Zhou; Shirin Jalali; Arian Maleki (IEEE Trans. Inf. Theory, 2022)

Retinal photograph-based deep learning system for detection of hyperthyroidism: a multicenter, diagnostic study. - Li Dong; Lie Ju; Shiqi Hui; Lihua Luo; Xue Jiang; Zihan Nie; Ruiheng Zhang; Wenda Zhou; Heyan Li; Jost B. Jonas; Xin Wang 094; Xin Zhao; et al. (J. Big Data, 2023)

Versatile Cataract Fundus Image Restoration Model Utilizing Unpaired Cataract and High-quality Images. - Zheng Gong; Zhuo Deng; Weihao Gao; Wenda Zhou; Yuhang Yang; Hanqing Zhao; Zhiyuan Niu; Lei Shao; Wen-Bin Wei 007; Lan Ma (CoRR, 2024)

Corrections to "Compressed Sensing in the Presence of Speckle Noise". - Wenda Zhou; Shirin Jalali; Arian Maleki (IEEE Trans. Inf. Theory, 2024)

Competitive Programming with Large Reasoning Models. - Ahmed El-Kishky; Alexander Wei; Andre Saraiva 001; Borys Minaiev; Daniel Selsam; David Dohan; Francis Song; Hunter Lightman; Ignasi Clavera Gilaberte; Jakub Pachocki; Jerry Tworek; Lorenz Kuhn; et al. (CoRR, 2025)