Pritish Kamath
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
31
Venues
13
Active years
2011–2026
Best venue rank
A*
Where they publish
Papers
31 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | COLT | Invited Open Problem: Is the Power of Deep Learning over Linear Models Inherently Distribution Dependent? | Vitaly Feldman, Pritish Kamath, Nathan Srebro |
| 2026 | COLT | Fixed-Parameter Tractability of Private Synthetic Data Generation. | Badih Ghazi, Cristbal Guzmn, Pritish Kamath, Alexander Knop, Ravi Kumar, Pasin Manurangsi |
| 2025 | AISTATS | Balls-and-Bins Sampling for DP-SGD. | Lynn Chua, Badih Ghazi, Charlie Harrison, Pritish Kamath, Ravi Kumar, Ethan Leeman, Pasin Manurangsi, Amer Sinha, Chiyuan Zhang |
| 2025 | COLT | PREM: Privately Answering Statistical Queries with Relative Error. | Badih Ghazi, Cristbal Guzmn, Pritish Kamath, Alexander Knop, Ravi Kumar, Pasin Manurangsi, Sushant Sachdeva |
| 2025 | ICLR | Unlearn and Burn: Adversarial Machine Unlearning Requests Destroy Model Accuracy. | Yangsibo Huang, Daogao Liu, Lynn Chua, Badih Ghazi, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Milad Nasr, Amer Sinha, Chiyuan Zhang |
| 2025 | ICML | Empirical Privacy Variance. | Yuzheng Hu, Fan Wu, Ruicheng Xian, Yuhang Liu, Lydia Zakynthinou, Pritish Kamath, Chiyuan Zhang, David A. Forsyth |
| 2024 | COLT | Learning Neural Networks with Sparse Activations. | Pranjal Awasthi, Nishanth Dikkala, Pritish Kamath, Raghu Meka |
| 2024 | COLT | On Convex Optimization with Semi-Sensitive Features. | Badih Ghazi, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Raghu Meka, Chiyuan Zhang |
| 2024 | ICLR | LabelDP-Pro: Learning with Label Differential Privacy via Projections. | Badih Ghazi, Yangsibo Huang, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Chiyuan Zhang |
| 2024 | ICML | How Private are DP-SGD Implementations? | Lynn Chua, Badih Ghazi, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Amer Sinha, Chiyuan Zhang |
| 2024 | ICML | Individualized Privacy Accounting via Subsampling with Applications in Combinatorial Optimization. | Badih Ghazi, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Adam Sealfon |
| 2023 | COLT | Ticketed Learning-Unlearning Schemes. | Badih Ghazi, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Ayush Sekhari, Chiyuan Zhang |
| 2023 | FOCS | Towards Separating Computational and Statistical Differential Privacy. | Badih Ghazi, Rahul Ilango, Pritish Kamath, Ravi Kumar, Pasin Manurangsi |
| 2023 | ICALP | On Differentially Private Counting on Trees. | Badih Ghazi, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Kewen Wu |
| 2023 | ICLR | Regression with Label Differential Privacy. | Badih Ghazi, Pritish Kamath, Ravi Kumar, Ethan Leeman, Pasin Manurangsi, Avinash V. Varadarajan, Chiyuan Zhang |
| 2023 | ICML | On User-Level Private Convex Optimization. | Badih Ghazi, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Raghu Meka, Chiyuan Zhang |
| 2022 | ICML | Do More Negative Samples Necessarily Hurt In Contrastive Learning? | Pranjal Awasthi, Nishanth Dikkala, Pritish Kamath |
| 2022 | ICML | Faster Privacy Accounting via Evolving Discretization. | Badih Ghazi, Pritish Kamath, Ravi Kumar, Pasin Manurangsi |
| 2022 | STOC | Circuits resilient to short-circuit errors. | Klim Efremenko, Bernhard Haeupler, Yael Tauman Kalai, Pritish Kamath, Gillat Kol, Nicolas Resch, Raghuvansh R. Saxena |
| 2021 | AISTATS | Does Invariant Risk Minimization Capture Invariance? | Pritish Kamath, Akilesh Tangella, Danica J. Sutherland, Nathan Srebro |
| 2021 | ICML | Quantifying the Benefit of Using Differentiable Learning over Tangent Kernels. | Eran Malach, Pritish Kamath, Emmanuel Abbe, Nathan Srebro |
| 2020 | COLT | Approximate is Good Enough: Probabilistic Variants of Dimensional and Margin Complexity. | Pritish Kamath, Omar Montasser, Nathan Srebro |
| 2020 | PKC | Limits on the Efficiency of (Ring) LWE Based Non-interactive Key Exchange. | Siyao Guo, Pritish Kamath, Alon Rosen, Katerina Sotiraki |
| 2018 | STOC | Monotone circuit lower bounds from resolution. | Ankit Garg, Mika Gs, Pritish Kamath, Dmitry Sokolov |
| 2017 | ISIT | Improved bounds for universal one-bit compressive sensing. | Jayadev Acharya, Arnab Bhattacharyya, Pritish Kamath |
| 2016 | FOCS | Decidability of Non-interactive Simulation of Joint Distributions. | Badih Ghazi, Pritish Kamath, Madhu Sudan |
| 2016 | SODA | Communication Complexity of Permutation-Invariant Functions. | Badih Ghazi, Pritish Kamath, Madhu Sudan |
| 2013 | FOCS | Arithmetic Circuits: A Chasm at Depth Three. | Ankit Gupta, Pritish Kamath, Neeraj Kayal, Ramprasad Saptharishi |
| 2012 | CSL | Faster Algorithms for Alternating Refinement Relations. | Krishnendu Chatterjee, Siddhesh Chaubal, Pritish Kamath |
| 2012 | WoLLIC | Preservation under Substructures modulo Bounded Cores. | Abhisekh Sankaran, Bharat Adsul, Vivek Madan, Pritish Kamath, Supratik Chakraborty |
| 2011 | WABI | Using Dominances for Solving the Protein Family Identification Problem. | Nol Malod-Dognin, Mathilde Le Boudic-Jamin, Pritish Kamath, Rumen Andonov |