Zhang, Ruiqi

18 publications

ICML 2025 Gradient Descent Converges Arbitrarily Fast for Logistic Regression via Large and Adaptive Stepsizes Ruiqi Zhang, Jingfeng Wu, Peter Bartlett

CVPR 2025 Mitigating Ambiguities in 3D Classification with Gaussian Splatting Ruiqi Zhang, Hao Zhu, Jingyi Zhao, Qi Zhang, Xun Cao, Zhan Ma

NeurIPS 2025 Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning Chongyu Fan, Jiancheng Liu, Licong Lin, Jinghan Jia, Ruiqi Zhang, Song Mei, Sijia Liu

ICMLW 2024 Accelerating Best-of-N via Speculative Rejection Ruiqi Zhang, Momin Haider, Ming Yin, Jiahao Qiu, Mengdi Wang, Peter Bartlett, Andrea Zanette

ICMLW 2024 Accelerating Best-of-N via Speculative Rejection Ruiqi Zhang, Momin Haider, Ming Yin, Jiahao Qiu, Mengdi Wang, Peter Bartlett, Andrea Zanette

ICMLW 2024 Accelerating Best-of-N via Speculative Rejection Ruiqi Zhang, Momin Haider, Ming Yin, Jiahao Qiu, Mengdi Wang, Peter Bartlett, Andrea Zanette

ICLRW 2024 AutoPRM: Automating Procedural Supervision for Multi-Step Reasoning via Controllable Question Decomposition Zhaorun Chen, Zhuokai Zhao, Zhihong Zhu, Ruiqi Zhang, Xiang Li, Bhiksha Raj, Huaxiu Yao

NeurIPSW 2024 Choose Your Anchor Wisely: Effective Unlearning Diffusion Models via Concept Reconditioning Jingyu Zhu, Ruiqi Zhang, Licong Lin, Song Mei

NeurIPS 2024 Fast Best-of-N Decoding via Speculative Rejection Hanshi Sun, Momin Haider, Ruiqi Zhang, Huitao Yang, Jiahao Qiu, Ming Yin, Mengdi Wang, Peter L. Bartlett, Andrea Zanette

NeurIPS 2024 In-Context Learning of a Linear Transformer Block: Benefits of the MLP Component and One-Step GD Initialization Ruiqi Zhang, Jingfeng Wu, Peter L. Bartlett

NeurIPSW 2024 Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning Chongyu Fan, Jiancheng Liu, Licong Lin, Jinghan Jia, Ruiqi Zhang, Song Mei, Sijia Liu

JMLR 2024 Trained Transformers Learn Linear Models In-Context Ruiqi Zhang, Spencer Frei, Peter L. Bartlett

NeurIPS 2023 Policy Finetuning in Reinforcement Learning via Design of Experiments Using Offline Data Ruiqi Zhang, Andrea Zanette

NeurIPSW 2023 Trained Transformers Learn Linear Models In-Context Ruiqi Zhang, Spencer Frei, Peter Bartlett

ECCV 2022 NDF: Neural Deformable Fields for Dynamic Human Modelling Ruiqi Zhang, Jie Chen

ICML 2022 Off-Policy Fitted Q-Evaluation with Differentiable Function Approximators: Z-Estimation and Inference Theory Ruiqi Zhang, Xuezhou Zhang, Chengzhuo Ni, Mengdi Wang

ICML 2022 Optimal Estimation of Policy Gradient via Double Fitted Iteration Chengzhuo Ni, Ruiqi Zhang, Xiang Ji, Xuezhou Zhang, Mengdi Wang

AAAI 2015 Cross-Modal Image Clustering via Canonical Correlation Analysis Cheng Jin, Wenhui Mao, Ruiqi Zhang, Yuejie Zhang, Xiangyang Xue