Yu, Felix

26 publications

ICLR 2025 Better Autoregressive Regression with LLMs via Regression-Aware Fine-Tuning Michal Lukasik, Zhao Meng, Harikrishna Narasimhan, Yin-Wen Chang, Aditya Krishna Menon, Felix Yu, Sanjiv Kumar

AISTATS 2025 Efficient and Asymptotically Unbiased Constrained Decoding for Large Language Models Haotian Ye, Himanshu Jain, Chong You, Ananda Theertha Suresh, Haowei Lin, James Zou, Felix Yu

ICLR 2025 Large Language Models Are Interpretable Learners Ruochen Wang, Si Si, Felix Yu, Dorothea Wiesmann Rothuizen, Cho-Jui Hsieh, Inderjit S Dhillon

ICLR 2025 LoRA Done RITE: Robust Invariant Transformation Equilibration for LoRA Optimization Jui-Nan Yen, Si Si, Zhao Meng, Felix Yu, Sai Surya Duvvuri, Inderjit S Dhillon, Cho-Jui Hsieh, Sanjiv Kumar

ICMLW 2024 Efficient Document Ranking with Learnable Late Interactions Himanshu Jain, Ziwei Ji, Sashank J. Reddi, Ankit Singh Rawat, Felix Yu, Aditya Krishna Menon, Sadeep Jayasumana

ICMLW 2024 Efficient Document Ranking with Learnable Late Interactions Himanshu Jain, Ziwei Ji, Ankit Singh Rawat, Andreas Veit, Sadeep Jayasumana, Sashank J. Reddi, Aditya Krishna Menon, Felix Yu

ICLRW 2024 REST Meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent Renat Aksitov, Sobhan Miryoosefi, Zonglin Li, Daliang Li, Sheila Babayan, Kavya Kopparapu, Zachary Fisher, Ruiqi Guo, Sushant Prakash, Pranesh Srinivasan, Manzil Zaheer, Felix Yu, Sanjiv Kumar

ICLR 2024 Two-Stage LLM Fine-Tuning with Less Specialization and More Generalization Yihan Wang, Si Si, Daliang Li, Michal Lukasik, Felix Yu, Cho-Jui Hsieh, Inderjit S Dhillon, Sanjiv Kumar

CVPR 2023 FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning Yuanhao Xiong, Ruochen Wang, Minhao Cheng, Felix Yu, Cho-Jui Hsieh

ICLR 2023 Serving Graph Compression for Graph Neural Networks Si Si, Felix Yu, Ankit Singh Rawat, Cho-Jui Hsieh, Sanjiv Kumar

NeurIPS 2023 SpecTr: Fast Speculative Decoding via Optimal Transport Ziteng Sun, Ananda Theertha Suresh, Jae Hun Ro, Ahmad Beirami, Himanshu Jain, Felix Yu

ICMLW 2023 SpecTr: Fast Speculative Decoding via Optimal Transport Ziteng Sun, Ananda Theertha Suresh, Jae Hun Ro, Ahmad Beirami, Himanshu Jain, Felix Yu, Michael Riley, Sanjiv Kumar

ICLR 2023 The Lazy Neuron Phenomenon: On Emergence of Activation Sparsity in Transformers Zonglin Li, Chong You, Srinadh Bhojanapalli, Daliang Li, Ankit Singh Rawat, Sashank J. Reddi, Ke Ye, Felix Chern, Felix Yu, Ruiqi Guo, Sanjiv Kumar

NeurIPSW 2023 Two-Stage LLM Fine-Tuning with Less Specialization and More Generalization Yihan Wang, Si Si, Daliang Li, Michal Lukasik, Felix Yu, Cho-Jui Hsieh, Inderjit S Dhillon, Sanjiv Kumar

ICML 2022 Correlated Quantization for Distributed Mean Estimation and Optimization Ananda Theertha Suresh, Ziteng Sun, Jae Ro, Felix Yu

NeurIPSW 2022 FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning Yuanhao Xiong, Ruochen Wang, Minhao Cheng, Felix Yu, Cho-Jui Hsieh

AISTATS 2021 RankDistil: Knowledge Distillation for Ranking Sashank Reddi, Rama Kumar Pasumarthi, Aditya Menon, Ankit Singh Rawat, Felix Yu, Seungyeon Kim, Andreas Veit, Sanjiv Kumar

ICML 2021 Disentangling Sampling and Labeling Bias for Learning in Large-Output Spaces Ankit Singh Rawat, Aditya K Menon, Wittawat Jitkrittum, Sadeep Jayasumana, Felix Yu, Sashank Reddi, Sanjiv Kumar

ICML 2020 Federated Learning with Only Positive Labels Felix Yu, Ankit Singh Rawat, Aditya Menon, Sanjiv Kumar

CVPRW 2020 Take the Scenic Route: Improving Generalization in Vision-and-Language Navigation Felix Yu, Zhiwei Deng, Karthik Narasimhan, Olga Russakovsky

ICML 2019 Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling Shanshan Wu, Alex Dimakis, Sujay Sanghavi, Felix Yu, Daniel Holtmann-Rice, Dmitry Storcheus, Afshin Rostamizadeh, Sanjiv Kumar

AISTATS 2019 Stochastic Negative Mining for Learning with Large Output Spaces Sashank J. Reddi, Satyen Kale, Felix Yu, Daniel Holtmann-Rice, Jiecao Chen, Sanjiv Kumar

ICML 2018 Loss Decomposition for Fast Learning in Large Output Spaces Ian En-Hsu Yen, Satyen Kale, Felix Yu, Daniel Holtmann-Rice, Sanjiv Kumar, Pradeep Ravikumar

NeurIPS 2017 Multiscale Quantization for Fast Similarity Search Xiang Wu, Ruiqi Guo, Ananda Theertha Suresh, Sanjiv Kumar, Daniel N Holtmann-Rice, David Simcha, Felix Yu

ICML 2014 Circulant Binary Embedding Felix Yu, Sanjiv Kumar, Yunchao Gong, Shih-Fu Chang

ICML 2013 \proptoSVM for Learning with Label Proportions Felix Yu, Dong Liu, Sanjiv Kumar, Jebara Tony, Shih-Fu Chang