Felix X. Yu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
32
Venues
9
Active years
2012–2025
Best venue rank
A*
Where they publish
Papers
32 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AISTATS | Efficient and Asymptotically Unbiased Constrained Decoding for Large Language Models. | Haotian Ye, Himanshu Jain, Chong You, Ananda Theertha Suresh, Haowei Lin, James Zou, Felix X. Yu |
| 2025 | ICLR | Large Language Models are Interpretable Learners. | Ruochen Wang, Si Si, Felix X. Yu, Dorothea Wiesmann Rothuizen, Cho-Jui Hsieh, Inderjit S. Dhillon |
| 2025 | ICLR | LoRA Done RITE: Robust Invariant Transformation Equilibration for LoRA Optimization. | Jui-Nan Yen, Si Si, Zhao Meng, Felix X. Yu, Sai Surya Duvvuri, Inderjit S. Dhillon, Cho-Jui Hsieh, Sanjiv Kumar |
| 2025 | ICML | Bipartite Ranking From Multiple Labels: On Loss Versus Label Aggregation. | Michal Lukasik, Lin Chen, Harikrishna Narasimhan, Aditya Krishna Menon, Wittawat Jitkrittum, Felix X. Yu, Sashank J. Reddi, Gang Fu, MohammadHossein Bateni, Sanjiv Kumar |
| 2024 | ACL | Automatic Engineering of Long Prompts. | Cho-Jui Hsieh, Si Si, Felix X. Yu, Inderjit S. Dhillon |
| 2024 | EMNLP | Regression Aware Inference with LLMs. | Michal Lukasik, Harikrishna Narasimhan, Aditya Krishna Menon, Felix X. Yu, Sanjiv Kumar |
| 2024 | ICLR | Two-stage LLM Fine-tuning with Less Specialization and More Generalization. | Yihan Wang, Si Si, Daliang Li, Michal Lukasik, Felix X. Yu, Cho-Jui Hsieh, Inderjit S. Dhillon, Sanjiv Kumar |
| 2023 | ACL | Large Language Models with Controllable Working Memory. | Daliang Li, Ankit Singh Rawat, Manzil Zaheer, Xin Wang, Michal Lukasik, Andreas Veit, Felix X. Yu, Sanjiv Kumar |
| 2023 | CVPR | FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning. | Yuanhao Xiong, Ruochen Wang, Minhao Cheng, Felix X. Yu, Cho-Jui Hsieh |
| 2023 | ICLR | 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 X. Yu, Ruiqi Guo, Sanjiv Kumar |
| 2023 | ICLR | Serving Graph Compression for Graph Neural Networks. | Si Si, Felix X. Yu, Ankit Singh Rawat, Cho-Jui Hsieh, Sanjiv Kumar |
| 2022 | ICML | Correlated Quantization for Distributed Mean Estimation and Optimization. | Ananda Theertha Suresh, Ziteng Sun, Jae Ro, Felix X. Yu |
| 2021 | AISTATS | RankDistil: Knowledge Distillation for Ranking. | Sashank J. Reddi, Rama Kumar Pasumarthi, Aditya Krishna Menon, Ankit Singh Rawat, Felix X. Yu, Seungyeon Kim, Andreas Veit, Sanjiv Kumar |
| 2021 | CIKM | Self-supervised Learning for Large-scale Item Recommendations. | Tiansheng Yao, Xinyang Yi, Derek Zhiyuan Cheng, Felix X. Yu, Ting Chen, Aditya Krishna Menon, Lichan Hong, Ed H. Chi, Steve Tjoa, Jieqi (Jay) Kang, Evan Ettinger |
| 2021 | ICML | Disentangling Sampling and Labeling Bias for Learning in Large-output Spaces. | Ankit Singh Rawat, Aditya Krishna Menon, Wittawat Jitkrittum, Sadeep Jayasumana, Felix X. Yu, Sashank J. Reddi, Sanjiv Kumar |
| 2020 | EMNLP | Semantic Label Smoothing for Sequence to Sequence Problems. | Michal Lukasik, Himanshu Jain, Aditya Krishna Menon, Seungyeon Kim, Srinadh Bhojanapalli, Felix X. Yu, Sanjiv Kumar |
| 2020 | ICLR | Pre-training Tasks for Embedding-based Large-scale Retrieval. | Wei-Cheng Chang, Felix X. Yu, Yin-Wen Chang, Yiming Yang, Sanjiv Kumar |
| 2020 | ICML | Federated Learning with Only Positive Labels. | Felix X. Yu, Ankit Singh Rawat, Aditya Krishna Menon, Sanjiv Kumar |
| 2019 | AISTATS | Stochastic Negative Mining for Learning with Large Output Spaces. | Sashank J. Reddi, Satyen Kale, Felix X. Yu, Daniel Niels Holtmann-Rice, Jiecao Chen, Sanjiv Kumar |
| 2019 | ICML | Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling. | Shanshan Wu, Alex Dimakis, Sujay Sanghavi, Felix X. Yu, Daniel Niels Holtmann-Rice, Dmitry Storcheus, Afshin Rostamizadeh, Sanjiv Kumar |
| 2018 | ICML | Loss Decomposition for Fast Learning in Large Output Spaces. | Ian En-Hsu Yen, Satyen Kale, Felix X. Yu, Daniel Niels Holtmann-Rice, Sanjiv Kumar, Pradeep Ravikumar |
| 2017 | ASRU | Lattice rescoring strategies for long short term memory language models in speech recognition. | Shankar Kumar, Michael Nirschl, Daniel Niels Holtmann-Rice, Hank Liao, Ananda Theertha Suresh, Felix X. Yu |
| 2017 | CVPR | Learning Discriminative and Transformation Covariant Local Feature Detectors. | Xu Zhang, Felix X. Yu, Svebor Karaman, Shih-Fu Chang |
| 2017 | ICCV | Learning Spread-Out Local Feature Descriptors. | Xu Zhang, Felix X. Yu, Sanjiv Kumar, Shih-Fu Chang |
| 2017 | ICML | Distributed Mean Estimation with Limited Communication. | Ananda Theertha Suresh, Felix X. Yu, Sanjiv Kumar, H. Brendan McMahan |
| 2015 | ICCV | An Exploration of Parameter Redundancy in Deep Networks with Circulant Projections. | Yu Cheng, Felix X. Yu, Rogrio Schmidt Feris, Sanjiv Kumar, Alok N. Choudhary, Shih-Fu Chang |
| 2015 | ICCV | Fast Orthogonal Projection Based on Kronecker Product. | Xu Zhang, Felix X. Yu, Ruiqi Guo, Sanjiv Kumar, Shengjin Wang, Shih-Fu Chang |
| 2014 | CVPR | Video Event Detection by Inferring Temporal Instance Labels. | Kuan-Ting Lai, Felix X. Yu, Ming-Syan Chen, Shih-Fu Chang |
| 2014 | ICML | Circulant Binary Embedding. | Felix X. Yu, Sanjiv Kumar, Yunchao Gong, Shih-Fu Chang |
| 2013 | CVPR | Designing Category-Level Attributes for Discriminative Visual Recognition. | Felix X. Yu, Liangliang Cao, Rogrio Schmidt Feris, John R. Smith, Shih-Fu Chang |
| 2013 | ICML | \(\propto\)SVM for Learning with Label Proportions. | Felix X. Yu, Dong Liu, Sanjiv Kumar, Tony Jebara, Shih-Fu Chang |
| 2012 | CVPR | Weak attributes for large-scale image retrieval. | Felix X. Yu, Rongrong Ji, Ming-Hen Tsai, Guangnan Ye, Shih-Fu Chang |