Winnie Xu

22 papers A* 7A 2Journal 13
YearRankTypeTitle / Venue / Authors
2025 J jnl
Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment.
Trans. Assoc. Comput. Linguistics
Karel D'Oosterlinck, Winnie Xu, Chris Develder, Thomas Demeester, Amanpreet Singh, Christopher Potts, Douwe Kiela, Shikib Mehri
2024 J jnl
Anchored Preference Optimization and Contrastive Revisions: Addressing Underspecification in Alignment.
CoRR
Karel D'Oosterlinck, Winnie Xu, Chris Develder, Thomas Demeester, Amanpreet Singh, Christopher Potts, Douwe Kiela, Shikib Mehri
2024 J jnl
KTO: Model Alignment as Prospect Theoretic Optimization.
CoRR
Kawin Ethayarajh, Winnie Xu, Niklas Muennighoff, Dan Jurafsky, Douwe Kiela
2024 A* conf
Model Alignment as Prospect Theoretic Optimization.
ICML
Kawin Ethayarajh, Winnie Xu, Niklas Muennighoff, Dan Jurafsky, Douwe Kiela
2024 A conf
NoisyMix: Boosting Model Robustness to Common Corruptions.
AISTATS
N. Benjamin Erichson, Soon Hoe Lim, Winnie Xu, Francisco Utrera, Ziang Cao, Michael W. Mahoney
2023 A* conf
Deep Latent State Space Models for Time-Series Generation.
ICML
Linqi Zhou, Michael Poli, Winnie Xu, Stefano Massaroli, Stefano Ermon
2023 A* conf
Neural Functional Transformers.
NeurIPS
Allan Zhou, Kaien Yang, Yiding Jiang, Kaylee Burns, Winnie Xu, Samuel Sokota, J. Zico Kolter, Chelsea Finn
2023 J jnl
Neural Functional Transformers.
CoRR
Allan Zhou, Kaien Yang, Yiding Jiang, Kaylee Burns, Winnie Xu, Samuel Sokota, J. Zico Kolter, Chelsea Finn
2022 J jnl
Deep Latent State Space Models for Time-Series Generation.
CoRR
Linqi Zhou, Michael Poli, Winnie Xu, Stefano Massaroli, Stefano Ermon
2022 A conf
Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations.
AISTATS
Winnie Xu, Ricky T. Q. Chen, Xuechen Li, David Duvenaud
2022 J jnl
Language Model Cascades.
CoRR
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, Charles Sutton
2022 A* conf
Multi-Game Decision Transformers.
NeurIPS
Kuang-Huei Lee, Ofir Nachum, Mengjiao Yang, Lisa Lee, Daniel Freeman, Sergio Guadarrama, Ian Fischer, Winnie Xu, Eric Jang, Henryk Michalewski, Igor Mordatch
2022 J jnl
Multi-Game Decision Transformers.
CoRR
Kuang-Huei Lee, Ofir Nachum, Mengjiao Yang, Lisa Lee, Daniel Freeman, Winnie Xu, Sergio Guadarrama, Ian Fischer, Eric Jang, Henryk Michalewski, Igor Mordatch
2022 A* conf
Noisy Feature Mixup.
ICLR
Soon Hoe Lim, N. Benjamin Erichson, Francisco Utrera, Winnie Xu, Michael W. Mahoney
2022 J jnl
NoisyMix: Boosting Robustness by Combining Data Augmentations, Stability Training, and Noise Injections.
CoRR
N. Benjamin Erichson, Soon Hoe Lim, Francisco Utrera, Winnie Xu, Ziang Cao, Michael W. Mahoney
2022 J jnl
Prioritized Training on Points that are Learnable, Worth Learning, and Not Yet Learnt.
CoRR
Sören Mindermann, Jan Markus Brauner, Muhammed Razzak, Mrinank Sharma, Andreas Kirsch, Winnie Xu, Benedikt Höltgen, Aidan N. Gomez, Adrien Morisot, Sebastian Farquhar, Yarin Gal
2022 A* conf
Prioritized Training on Points that are Learnable, Worth Learning, and not yet Learnt.
ICML
Sören Mindermann, Jan Markus Brauner, Muhammed Razzak, Mrinank Sharma, Andreas Kirsch, Winnie Xu, Benedikt Höltgen, Aidan N. Gomez, Adrien Morisot, Sebastian Farquhar, Yarin Gal
2022 A* conf
Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations.
NeurIPS
Michael Poli, Winnie Xu, Stefano Massaroli, Chenlin Meng, Kuno Kim, Stefano Ermon
2022 J jnl
Self-Similarity Priors: Neural Collages as Differentiable Fractal Representations.
CoRR
Michael Poli, Winnie Xu, Stefano Massaroli, Chenlin Meng, Kuno Kim, Stefano Ermon
2021 J jnl
Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations.
CoRR
Winnie Xu, Ricky T. Q. Chen, Xuechen Li, David Duvenaud
2021 J jnl
Noisy Feature Mixup.
CoRR
Soon Hoe Lim, N. Benjamin Erichson, Francisco Utrera, Winnie Xu, Michael W. Mahoney
2021 J jnl
Prioritized training on points that are learnable, worth learning, and not yet learned.
CoRR
Sören Mindermann, Muhammed Razzak, Winnie Xu, Andreas Kirsch, Mrinank Sharma, Adrien Morisot, Aidan N. Gomez, Sebastian Farquhar, Jan Markus Brauner, Yarin Gal