Xu, Winnie

10 publications

NeurIPSW 2024 Anchored Optimization and Contrastive Revisions: Addressing Reward Hacking in Alignment Karel D'Oosterlinck, Winnie Xu, Chris Develder, Thomas Demeester, Amanpreet Singh, Christopher Potts, Douwe Kiela, Shikib Mehri

ICML 2024 Model Alignment as Prospect Theoretic Optimization Kawin Ethayarajh, Winnie Xu, Niklas Muennighoff, Dan Jurafsky, Douwe Kiela

AISTATS 2024 NoisyMix: Boosting Model Robustness to Common Corruptions Benjamin Erichson, Soon Hoe Lim, Winnie Xu, Francisco Utrera, Ziang Cao, Michael Mahoney

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

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

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

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

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

ICML 2022 Prioritized Training on Points That Are Learnable, Worth Learning, and Not yet Learnt Sören Mindermann, Jan M Brauner, Muhammed T Razzak, Mrinank Sharma, Andreas Kirsch, Winnie Xu, Benedikt Höltgen, Aidan N Gomez, Adrien Morisot, Sebastian Farquhar, Yarin Gal

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