Prioritized training on points that are learnable, worth learning, and not yet learned. - Sören Mindermann; Muhammed Razzak; Winnie Xu; Andreas Kirsch 002; Mrinank Sharma; Adrien Morisot; Aidan N. Gomez; Sebastian Farquhar; Jan Markus Brauner; Yarin Gal (CoRR, 2021)

Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations. - Winnie Xu; Ricky T. Q. Chen; Xuechen Li 005; David Duvenaud (AISTATS, 2022)

Noisy Feature Mixup. - Soon Hoe Lim; N. Benjamin Erichson; Francisco Utrera; Winnie Xu; Michael W. Mahoney (ICLR, 2022)

Prioritized Training on Points that are Learnable, Worth Learning, and not yet Learnt. - Sören Mindermann; Jan Markus Brauner; Muhammed Razzak; Mrinank Sharma; Andreas Kirsch 002; Winnie Xu; Benedikt Höltgen; Aidan N. Gomez; Adrien Morisot; Sebastian Farquhar; Yarin Gal (ICML, 2022)

Multi-Game Decision Transformers. - Kuang-Huei Lee; Ofir Nachum; Mengjiao Yang 001; Lisa Lee; Daniel Freeman; Sergio Guadarrama; Ian Fischer; Winnie Xu; Eric Jang; Henryk Michalewski; Igor Mordatch (NeurIPS, 2022)

Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations. - Michael Poli; Winnie Xu; Stefano Massaroli; Chenlin Meng; Kuno Kim; Stefano Ermon (NeurIPS, 2022)

NoisyMix: Boosting Robustness by Combining Data Augmentations, Stability Training, and Noise Injections. - N. Benjamin Erichson; Soon Hoe Lim; Francisco Utrera; Winnie Xu; Ziang Cao; Michael W. Mahoney (CoRR, 2022)

Language Model Cascades. - David Dohan; Winnie Xu; Aitor Lewkowycz; Jacob Austin; David Bieber; Raphael Gontijo Lopes; Yuhuai Wu; Henryk Michalewski; Rif A. Saurous; Jascha Sohl-Dickstein; Kevin Murphy 002; Charles Sutton (CoRR, 2022)

Deep Latent State Space Models for Time-Series Generation. - Linqi Zhou; Michael Poli; Winnie Xu; Stefano Massaroli; Stefano Ermon (ICML, 2023)

Neural Functional Transformers. - Allan Zhou; Kaien Yang; Yiding Jiang; Kaylee Burns; Winnie Xu; Samuel Sokota; J. Zico Kolter; Chelsea Finn (NeurIPS, 2023)

NoisyMix: Boosting Model Robustness to Common Corruptions. - N. Benjamin Erichson; Soon Hoe Lim; Winnie Xu; Francisco Utrera; Ziang Cao; Michael W. Mahoney (AISTATS, 2024)

Model Alignment as Prospect Theoretic Optimization. - Kawin Ethayarajh; Winnie Xu; Niklas Muennighoff; Dan Jurafsky; Douwe Kiela (ICML, 2024)

KTO: Model Alignment as Prospect Theoretic Optimization. - Kawin Ethayarajh; Winnie Xu; Niklas Muennighoff; Dan Jurafsky; Douwe Kiela (CoRR, 2024)

Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment. - Karel D'Oosterlinck; Winnie Xu; Chris Develder; Thomas Demeester; Amanpreet Singh; Christopher Potts; Douwe Kiela; Shikib Mehri (Trans. Assoc. Comput. Linguistics, 2025)