| 2026 | AAAI | An External Fairness Evaluation of LinkedIn Talent Search. | Tina Behzad, Siddartha Devic, Vatsal Sharan, Aleksandra Korolova, David Kempe |
| 2026 | ACL | Textual Steering Vectors Can Improve Visual Understanding in Multimodal Large Language Models. | Woody Haosheng Gan, Deqing Fu, Julian Asilis, Ollie Liu, Vatsal Sharan, Robin Jia, Willie Neiswanger |
| 2026 | COLT | Efficient Swap Multicalibration of Elicitable Properties. | Lunjia Hu, Haipeng Luo, Spandan Senapati, Vatsal Sharan |
| 2026 | STOC | A Unified Approach to Memory-Sample Tradeoffs for Detecting Planted Structures. | Sumegha Garg, Jabari Hastings, Chirag Pabbaraju, Vatsal Sharan |
| 2025 | AISTATS | On the Inherent Privacy of Zeroth-Order Projected Gradient Descent. | Devansh Gupta, Meisam Razaviyayn, Vatsal Sharan |
| 2025 | ALT | Proper Learnability and the Role of Unlabeled Data. | Julian Asilis, Siddartha Devic, Shaddin Dughmi, Vatsal Sharan, Shang-Hua Teng |
| 2025 | ICLR | Transformers Learn Low Sensitivity Functions: Investigations and Implications. | Bhavya Vasudeva, Deqing Fu, Tianyi Zhou, Elliott Kau, Youqi Huang, Vatsal Sharan |
| 2024 | COLT | Regularization and Optimal Multiclass Learning. | Julian Asilis, Siddartha Devic, Shaddin Dughmi, Vatsal Sharan, Shang-Hua Teng |
| 2024 | COLT | Open Problem: Can Local Regularization Learn All Multiclass Problems? | Julian Asilis, Siddartha Devic, Shaddin Dughmi, Vatsal Sharan, Shang-Hua Teng |
| 2024 | ICASSP | Fast Test Error Rates for Gradient-Based Algorithms on Separable Data. | Puneesh Deora, Bhavya Vasudeva, Vatsal Sharan, Christos Thrampoulidis |
| 2024 | ICML | Stability and Multigroup Fairness in Ranking with Uncertain Predictions. | Siddartha Devic, Aleksandra Korolova, David Kempe, Vatsal Sharan |
| 2023 | ICML | Fairness in Matching under Uncertainty. | Siddartha Devic, David Kempe, Vatsal Sharan, Aleksandra Korolova |
| 2023 | IJCAI | Efficient Convex Optimization Requires Superlinear Memory (Extended Abstract). | Annie Marsden, Vatsal Sharan, Aaron Sidford, Gregory Valiant |
| 2022 | ALT | Multicalibrated Partitions for Importance Weights. | Parikshit Gopalan, Omer Reingold, Vatsal Sharan, Udi Wieder |
| 2022 | COLT | Big-Step-Little-Step: Efficient Gradient Methods for Objectives with Multiple Scales. | Jonathan A. Kelner, Annie Marsden, Vatsal Sharan, Aaron Sidford, Gregory Valiant, Honglin Yuan |
| 2022 | COLT | Efficient Convex Optimization Requires Superlinear Memory. | Annie Marsden, Vatsal Sharan, Aaron Sidford, Gregory Valiant |
| 2021 | ICLR | One Network Fits All? Modular versus Monolithic Task Formulations in Neural Networks. | Atish Agarwala, Abhimanyu Das, Brendan Juba, Rina Panigrahy, Vatsal Sharan, Xin Wang, Qiuyi Zhang |
| 2020 | ICML | Sample Amplification: Increasing Dataset Size even when Learning is Impossible. | Brian Axelrod, Shivam Garg, Vatsal Sharan, Gregory Valiant |
| 2019 | AISTATS | Recovery Guarantees For Quadratic Tensors With Sparse Observations. | Hongyang Zhang, Vatsal Sharan, Moses Charikar, Yingyu Liang |
| 2019 | ICML | Compressed Factorization: Fast and Accurate Low-Rank Factorization of Compressively-Sensed Data. | Vatsal Sharan, Kai Sheng Tai, Peter Bailis, Gregory Valiant |
| 2019 | STOC | Memory-sample tradeoffs for linear regression with small error. | Vatsal Sharan, Aaron Sidford, Gregory Valiant |
| 2018 | SIGMOD | Sketching Linear Classifiers over Data Streams. | Kai Sheng Tai, Vatsal Sharan, Peter Bailis, Gregory Valiant |
| 2018 | STOC | Prediction with a short memory. | Vatsal Sharan, Sham M. Kakade, Percy Liang, Gregory Valiant |
| 2017 | ICML | Orthogonalized ALS: A Theoretically Principled Tensor Decomposition Algorithm for Practical Use. | Vatsal Sharan, Gregory Valiant |
| 2014 | ISIT | Large deviation property of waiting times for Markov and mixing processes. | Vatsal Sharan, Rakesh Kumar Bansal |
| 2013 | ACSSC | Localization of acoustic beacons using iterative null beamforming over ad-hoc wireless sensor networks. | Vatsal Sharan, Sudhir Kumar, Rajesh M. Hegde |
| 2013 | COMSNETS | Multiple source localization using randomly distributed wireless sensor nodes. | Vatsal Sharan, Sudhir Kumar, Rajesh M. Hegde |
| 2013 | GLOBECOM | Energy efficient optimal node-source localization using mobile beacon in ad-hoc sensor networks. | Sudhir Kumar, Vatsal Sharan, Rajesh M. Hegde |