Sujay Sanghavi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
53
Venues
17
Active years
2005–2026
Best venue rank
A*
Where they publish
Papers
53 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | On-Policy Self-Distillation for Efficient Diffusion Language Models with Early-Stage Calibration. | Huaisheng Zhu, MingYu Liu, Junze Liu, Zhen Ge, Tian Wang, Jiri Gesi, Dakuo Wang, Weiqi Zhang, Houyu Zhang, Yufan Guo, Xian Li, Bing Yin, Sujay Sanghavi |
| 2025 | ICLR | Enhancing Language Model Agents using Diversity of Thoughts. | Vijay Lingam, Behrooz Omidvar-Tehrani, Sujay Sanghavi, Gaurav Gupta, Sayan Ghosh, Linbo Liu, Jun Huan, Anoop Deoras |
| 2025 | ICLR | Infilling Score: A Pretraining Data Detection Algorithm for Large Language Models. | Negin Raoof, Litu Rout, Giannis Daras, Sujay Sanghavi, Constantine Caramanis, Sanjay Shakkottai, Alex Dimakis |
| 2025 | ICML | Geometric Median (GM) Matching for Robust k-Subset Selection from Noisy Data. | Anish Acharya, Sujay Sanghavi, Alex Dimakis, Inderjit S. Dhillon |
| 2025 | ICML | Retraining with Predicted Hard Labels Provably Increases Model Accuracy. | Rudrajit Das, Inderjit S. Dhillon, Alessandro Epasto, Adel Javanmard, Jieming Mao, Vahab Mirrokni, Sujay Sanghavi, Peilin Zhong |
| 2025 | ICML | Learning Mixtures of Experts with EM: A Mirror Descent Perspective. | Quentin Fruytier, Aryan Mokhtari, Sujay Sanghavi |
| 2025 | ICML | Upweighting Easy Samples in Fine-Tuning Mitigates Forgetting. | Sunny Sanyal, Hayden Prairie, Rudrajit Das, Ali Kavis, Sujay Sanghavi |
| 2025 | NAACL | InfoPO: On Mutual Information Maximization for Large Language Model Alignment. | Teng Xiao, Zhen Ge, Sujay Sanghavi, Tian Wang, Julian Katz-Samuels, Marc Versage, Qingjun Cui, Trishul Chilimbi |
| 2024 | ICML | Improving Computational Complexity in Statistical Models with Local Curvature Information. | Pedram Akbarian, Tongzheng Ren, Jiacheng Zhuo, Sujay Sanghavi, Nhat Ho |
| 2024 | ICML | Understanding the Training Speedup from Sampling with Approximate Losses. | Rudrajit Das, Xi Chen, Bertram Ieong, Parikshit Bansal, Sujay Sanghavi |
| 2024 | ICML | Time Weaver: A Conditional Time Series Generation Model. | Sai Shankar Narasimhan, Shubhankar Agarwal, Oguzhan Akcin, Sujay Sanghavi, Sandeep P. Chinchali |
| 2023 | AISTATS | Sample Efficiency of Data Augmentation Consistency Regularization. | Shuo Yang, Yijun Dong, Rachel A. Ward, Inderjit S. Dhillon, Sujay Sanghavi, Qi Lei |
| 2023 | ICLR | Latent Variable Representation for Reinforcement Learning. | Tongzheng Ren, Chenjun Xiao, Tianjun Zhang, Na Li, Zhaoran Wang, Sujay Sanghavi, Dale Schuurmans, Bo Dai |
| 2023 | ICML | Beyond Uniform Lipschitz Condition in Differentially Private Optimization. | Rudrajit Das, Satyen Kale, Zheng Xu, Tong Zhang, Sujay Sanghavi |
| 2023 | ICML | Understanding Self-Distillation in the Presence of Label Noise. | Rudrajit Das, Sujay Sanghavi |
| 2022 | AISTATS | Robust Training in High Dimensions via Block Coordinate Geometric Median Descent. | Anish Acharya, Abolfazl Hashemi, Prateek Jain, Sujay Sanghavi, Inderjit S. Dhillon, Ufuk Topcu |
| 2022 | AISTATS | Towards Statistical and Computational Complexities of Polyak Step Size Gradient Descent. | Tongzheng Ren, Fuheng Cui, Alexia Atsidakou, Sujay Sanghavi, Nhat Ho |
| 2022 | ICML | Asymptotically-Optimal Gaussian Bandits with Side Observations. | Alexia Atsidakou, Orestis Papadigenopoulos, Constantine Caramanis, Sujay Sanghavi, Sanjay Shakkottai |
| 2022 | ICML | Linear Bandit Algorithms with Sublinear Time Complexity. | Shuo Yang, Tongzheng Ren, Sanjay Shakkottai, Eric Price, Inderjit S. Dhillon, Sujay Sanghavi |
| 2022 | UAI | Faster non-convex federated learning via global and local momentum. | Rudrajit Das, Anish Acharya, Abolfazl Hashemi, Sujay Sanghavi, Inderjit S. Dhillon, Ufuk Topcu |
| 2021 | CIKM | Enabling Efficiency-Precision Trade-offs for Label Trees in Extreme Classification. | Tavor Z. Baharav, Daniel L. Jiang, Kedarnath Kolluri, Sujay Sanghavi, Inderjit S. Dhillon |
| 2020 | AISTATS | Choosing the Sample with Lowest Loss makes SGD Robust. | Vatsal Shah, Xiaoxia Wu, Sujay Sanghavi |
| 2020 | ICML | Extreme Multi-label Classification from Aggregated Labels. | Yanyao Shen, Hsiang-Fu Yu, Sujay Sanghavi, Inderjit S. Dhillon |
| 2019 | ICML | Learning with Bad Training Data via Iterative Trimmed Loss Minimization. | Yanyao Shen, Sujay Sanghavi |
| 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 |
| 2019 | SC | PruneTrain: fast neural network training by dynamic sparse model reconfiguration. | Sangkug Lym, Esha Choukse, Siavash Zangeneh, Wei Wen, Sujay Sanghavi, Mattan Erez |
| 2017 | AISTATS | Non-square matrix sensing without spurious local minima via the Burer-Monteiro approach. | Dohyung Park, Anastasios Kyrillidis, Constantine Caramanis, Sujay Sanghavi |
| 2016 | COLT | Dropping Convexity for Faster Semi-definite Optimization. | Srinadh Bhojanapalli, Anastasios Kyrillidis, Sujay Sanghavi |
| 2016 | ICASSP | Structurally-constrained gradient descent for matrix factorization in haplotype assembly problems. | Changxiao Cai, Sujay Sanghavi, Haris Vikalo |
| 2016 | SIGMETRICS | Searching For A Single Community in a Graph. | Avik Ray, Sujay Sanghavi, Sanjay Shakkottai |
| 2015 | ICML | Preference Completion: Large-scale Collaborative Ranking from Pairwise Comparisons. | Dohyung Park, Joe Neeman, Jin Zhang, Sujay Sanghavi, Inderjit S. Dhillon |
| 2015 | SODA | Tighter Low-rank Approximation via Sampling the Leveraged Element. | Srinadh Bhojanapalli, Prateek Jain, Sujay Sanghavi |
| 2014 | ICML | Coherent Matrix Completion. | Yudong Chen, Srinadh Bhojanapalli, Sujay Sanghavi, Rachel A. Ward |
| 2014 | ICML | Alternating Minimization for Mixed Linear Regression. | Xinyang Yi, Constantine Caramanis, Sujay Sanghavi |
| 2014 | ISIT | Learning structure of power-law Markov networks. | Abhik Kumar Das, Praneeth Netrapalli, Sujay Sanghavi, Sriram Vishwanath |
| 2014 | SIGMETRICS | Serving content with unknown demand: the high-dimensional regime. | Sharayu Moharir, Javad Ghaderi, Sujay Sanghavi, Sanjay Shakkottai |
| 2014 | SIGMETRICS | Topic modeling from network spread. | Avik Ray, Sujay Sanghavi, Sanjay Shakkottai |
| 2013 | STOC | Low-rank matrix completion using alternating minimization. | Prateek Jain, Praneeth Netrapalli, Sujay Sanghavi |
| 2013 | SIGMETRICS | Online load balancing under graph constraints. | Sharayu Moharir, Sujay Sanghavi, Sanjay Shakkottai |
| 2012 | ICML | Learning the Dependence Graph of Time Series with Latent Factors. | Ali Jalali, Sujay Sanghavi |
| 2012 | INFOCOM | On the effect of channel fading on greedy scheduling. | Aneesh Reddy, Sujay Sanghavi, Sanjay Shakkottai |
| 2012 | ISIT | Learning Markov graphs up to edit distance. | Abhik Kumar Das, Praneeth Netrapalli, Sujay Sanghavi, Sriram Vishwanath |
| 2012 | SIGMETRICS | Learning the graph of epidemic cascades. | Praneeth Netrapalli, Sujay Sanghavi |
| 2011 | ICML | Robust Matrix Completion and Corrupted Columns. | Yudong Chen, Huan Xu, Constantine Caramanis, Sujay Sanghavi |
| 2011 | ICML | Clustering Partially Observed Graphs via Convex Optimization. | Ali Jalali, Yudong Chen, Sujay Sanghavi, Huan Xu |
| 2011 | ISIT | Low-rank matrix recovery from errors and erasures. | Yudong Chen, Ali Jalali, Sujay Sanghavi, Constantine Caramanis |
| 2009 | CISS | Conferencing on trees. | Ali Jalali, David James Love, Sujay Sanghavi, Bertrand M. Hochwald |
| 2009 | ISIT | Some fundamental coding theoretic limits of unequal error protection. | Shashi Borade, Sujay Sanghavi |
| 2009 | SIGMETRICS | Node weighted scheduling. | Gagan Raj Gupta, Sujay Sanghavi, Ness B. Shroff |
| 2008 | ICASSP | Compressed sensing with sequential observations. | Dmitry M. Malioutov, Sujay Sanghavi, Alan S. Willsky |
| 2007 | INFOCOM | Gossiping with Multiple Messages. | Sujay Sanghavi, Bruce E. Hajek, Laurent Massouli |
| 2007 | SIGMETRICS | Distributed link scheduling with constant overhead. | Sujay Sanghavi, Loc Bui, R. Srikant |
| 2005 | SIGCOMM | A new mechanism for the free-rider problem. | Sujay Sanghavi, Bruce E. Hajek |