Chen, Yining

11 publications

ICML 2024 Weak-to-Strong Generalization: Eliciting Strong Capabilities with Weak Supervision Collin Burns, Pavel Izmailov, Jan Hendrik Kirchner, Bowen Baker, Leo Gao, Leopold Aschenbrenner, Yining Chen, Adrien Ecoffet, Manas Joglekar, Jan Leike, Ilya Sutskever, Jeffrey Wu

NeurIPS 2023 Zero-Shot Causal Learning Hamed Nilforoshan, Michael Moor, Yusuf Roohani, Yining Chen, Anja Šurina, Michihiro Yasunaga, Sara Oblak, Jure Leskovec

NeurIPS 2022 Iterative Feature Matching: Toward Provable Domain Generalization with Logarithmic Environments Yining Chen, Elan Rosenfeld, Mark Sellke, Tengyu Ma, Andrej Risteski

NeurIPS 2022 Statistically Meaningful Approximation: A Case Study on Approximating Turing Machines with Transformers Colin Wei, Yining Chen, Tengyu Ma

AISTATS 2021 Active Online Learning with Hidden Shifting Domains Yining Chen, Haipeng Luo, Tengyu Ma, Chicheng Zhang

ICLR 2021 Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization Kaidi Cao, Yining Chen, Junwei Lu, Nikos Arechiga, Adrien Gaidon, Tengyu Ma

ICLR 2021 Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data Colin Wei, Kendrick Shen, Yining Chen, Tengyu Ma

ICMLW 2020 Active Online Domain Adaptation Yining Chen, Haipeng Luo, Tengyu Ma, Chicheng Zhang

ICLR 2020 BERT-AL: BERT for Arbitrarily Long Document Understanding Ruixuan Zhang, Zhuoyu Wei, Yu Shi, Yining Chen

NeurIPS 2020 Self-Training Avoids Using Spurious Features Under Domain Shift Yining Chen, Colin Wei, Ananya Kumar, Tengyu Ma

ICLR 2020 Weakly Supervised Disentanglement with Guarantees Rui Shu, Yining Chen, Abhishek Kumar, Stefano Ermon, Ben Poole