EMDomics: a robust and powerful method for the identification of genes differentially expressed between heterogeneous classes. - Sheida Nabavi; Daniel Schmolze; Mayinuer Maitituoheti; Sadhika Malladi; Andrew H. Beck (Bioinform., 2016)

A Mathematical Exploration of Why Language Models Help Solve Downstream Tasks. - Nikunj Saunshi; Sadhika Malladi; Sanjeev Arora (ICLR, 2021)

On the Validity of Modeling SGD with Stochastic Differential Equations (SDEs). - Zhiyuan Li 005; Sadhika Malladi; Sanjeev Arora (NeurIPS, 2021)

On the SDEs and Scaling Rules for Adaptive Gradient Algorithms. - Sadhika Malladi; Kaifeng Lyu; Abhishek Panigrahi; Sanjeev Arora (NeurIPS, 2022)

A Kernel-Based View of Language Model Fine-Tuning. - Sadhika Malladi; Alexander Wettig; Dingli Yu; Danqi Chen 001; Sanjeev Arora (ICML, 2023)

Fine-Tuning Language Models with Just Forward Passes. - Sadhika Malladi; Tianyu Gao 001; Eshaan Nichani; Alex Damian; Jason D. Lee; Danqi Chen 001; Sanjeev Arora (NeurIPS, 2023)

The Marginal Value of Momentum for Small Learning Rate SGD. - Runzhe Wang; Sadhika Malladi; Tianhao Wang 017; Kaifeng Lyu; Zhiyuan Li 005 (ICLR, 2024)

Trainable Transformer in Transformer. - Abhishek Panigrahi; Sadhika Malladi; Mengzhou Xia; Sanjeev Arora (ICML, 2024)

LESS: Selecting Influential Data for Targeted Instruction Tuning. - Mengzhou Xia; Sadhika Malladi; Suchin Gururangan; Sanjeev Arora; Danqi Chen 001 (ICML, 2024)

Preference Learning Algorithms Do Not Learn Preference Rankings. - Angelica Chen; Sadhika Malladi; Lily H. Zhang; Xinyi Chen 001; Qiuyi (Richard) Zhang; Rajesh Ranganath; Kyunghyun Cho (NeurIPS, 2024)

CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs. - Zirui Wang; Mengzhou Xia; Luxi He; Howard Chen 003; Yitao Liu; Richard Zhu; Kaiqu Liang; Xindi Wu; Haotian Liu; Sadhika Malladi; Alexis Chevalier; Sanjeev Arora; et al. (NeurIPS, 2024)

Adaptive Data Optimization: Dynamic Sample Selection with Scaling Laws. - Yiding Jiang; Allan Zhou; Zhili Feng; Sadhika Malladi; J. Zico Kolter (ICLR, 2025)

Progressive distillation induces an implicit curriculum. - Abhishek Panigrahi; Bingbin Liu; Sadhika Malladi; Andrej Risteski; Surbhi Goel (ICLR, 2025)

Unintentional Unalignment: Likelihood Displacement in Direct Preference Optimization. - Noam Razin; Sadhika Malladi; Adithya Bhaskar; Danqi Chen 001; Sanjeev Arora; Boris Hanin (ICLR, 2025)

MUSE: Machine Unlearning Six-Way Evaluation for Language Models. - Weijia Shi; Jaechan Lee; Yangsibo Huang; Sadhika Malladi; Jieyu Zhao 001; Ari Holtzman; Daogao Liu; Luke Zettlemoyer; Noah A. Smith; Chiyuan Zhang (ICLR, 2025)

Provable unlearning in topic modeling and downstream tasks. - Stanley Wei; Sadhika Malladi; Sanjeev Arora; Amartya Sanyal (ICLR, 2025)

Metadata Conditioning Accelerates Language Model Pre-training. - Tianyu Gao 001; Alexander Wettig; Luxi He; Yihe Dong; Sadhika Malladi; Danqi Chen 001 (CoRR, 2025)

Overtrained Language Models Are Harder to Fine-Tune. - Jacob Mitchell Springer; Sachin Goyal; Kaiyue Wen; Tanishq Kumar; Xiang Yue; Sadhika Malladi; Graham Neubig; Aditi Raghunathan (CoRR, 2025)