Chidambaram, Muthu

8 publications

ICLR 2025 For Better or for Worse? Learning Minimum Variance Features with Label Augmentation Muthu Chidambaram, Rong Ge

ICLR 2025 Reassessing How to Compare and Improve the Calibration of Machine Learning Models Muthu Chidambaram, Rong Ge

ICML 2024 How Flawed Is ECE? an Analysis via Logit Smoothing Muthu Chidambaram, Holden Lee, Colin Mcswiggen, Semon Rezchikov

ICLR 2024 On the Limitations of Temperature Scaling for Distributions with Overlaps Muthu Chidambaram, Rong Ge

NeurIPS 2024 What Does Guidance Do? a Fine-Grained Analysis in a Simple Setting Muthu Chidambaram, Khashayar Gatmiry, Sitan Chen, Holden Lee, Jianfeng Lu

ICML 2023 Hiding Data Helps: On the Benefits of Masking for Sparse Coding Muthu Chidambaram, Chenwei Wu, Yu Cheng, Rong Ge

ICML 2023 Provably Learning Diverse Features in Multi-View Data with Midpoint Mixup Muthu Chidambaram, Xiang Wang, Chenwei Wu, Rong Ge

ICLR 2022 Towards Understanding the Data Dependency of Mixup-Style Training Muthu Chidambaram, Xiang Wang, Yuzheng Hu, Chenwei Wu, Rong Ge