| Multiple instance learning for efficient sequential data classification on resource-constrained devices D Dennis, C Pabbaraju, HV Simhadri, P Jain Advances in Neural Information Processing Systems 31, 2018 | 65 | 2018 |
| Gesturepod: Enabling on-device gesture-based interaction for white cane users SG Patil, DK Dennis, C Pabbaraju, N Shaheer, HV Simhadri, V Seshadri, ... Proceedings of the 32nd Annual ACM symposium on User Interface Software and …, 2019 | 45* | 2019 |
| Estimating Lipschitz constants of monotone deep equilibrium models C Pabbaraju, E Winston, JZ Kolter International conference on learning representations, 2021 | 34 | 2021 |
| Universal approximation using well-conditioned normalizing flows H Lee, C Pabbaraju, AP Sevekari, A Risteski Advances in Neural Information Processing Systems 34, 12700-12711, 2021 | 19 | 2021 |
| Provable benefits of score matching C Pabbaraju, D Rohatgi, AP Sevekari, H Lee, A Moitra, A Risteski Advances in Neural Information Processing Systems 36, 61306-61326, 2023 | 14 | 2023 |
| A characterization of list learnability M Charikar, C Pabbaraju Proceedings of the 55th Annual ACM Symposium on Theory of Computing, 1713-1726, 2023 | 12 | 2023 |
| Quantifying the gain in weak-to-strong generalization M Charikar, C Pabbaraju, K Shiragur Advances in neural information processing systems 37, 126474-126499, 2024 | 11 | 2024 |
| Learning functions over sets via permutation adversarial networks C Pabbaraju, P Jain arXiv preprint arXiv:1907.05638, 2019 | 10 | 2019 |
| Multiclass learnability does not imply sample compression C Pabbaraju International Conference on Algorithmic Learning Theory, 930-944, 2024 | 7 | 2024 |
| Pitfalls of gaussians as a noise distribution in NCE H Lee, C Pabbaraju, A Sevekari, A Risteski arXiv preprint arXiv:2210.00189, 2022 | 7 | 2022 |
| Efficient semidefinite-programming-based inference for binary and multi-class MRFs C Pabbaraju, PW Wang, JZ Kolter Advances in Neural Information Processing Systems 33, 4259-4270, 2020 | 5 | 2020 |
| Exploring facets of language generation in the limit M Charikar, C Pabbaraju arXiv preprint arXiv:2411.15364, 2024 | 3 | 2024 |
| A Characterization of List Regression C Pabbaraju, S Sarmasarkar arXiv preprint arXiv:2409.19218, 2024 | 1 | 2024 |
| Harnessing the power of choices in decision tree learning G Blanc, J Lange, C Pabbaraju, C Sullivan, LY Tan, M Tiwari Advances in Neural Information Processing Systems 36, 80220-80232, 2023 | 1 | 2023 |
| Image segmention via efficient semidefinate-programming based inference for binary and multi-class Markov Random Fields DT Willmott, C Pabbaraju, PW Wang, J Kolter US Patent 11,587,237, 2023 | 1 | 2023 |
| New and Improved Bounds for Markov Paging C Pabbaraju, A Vakilian arXiv preprint arXiv:2502.05511, 2025 | | 2025 |
| Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss A Mulgund, C Pabbaraju arXiv preprint arXiv:2501.19105, 2025 | | 2025 |
| Embedding Probability Distributions into Low Dimensional ℓ1: Tree Ising Models via Truncated Metrics M Charikar, S Compton, C Pabbaraju Proceedings of the 2025 Annual ACM-SIAM Symposium on Discrete Algorithms …, 2025 | | 2025 |
| Credit Attribution and Stable Compression R Livni, S Moran, K Nissim, C Pabbaraju Advances in Neural Information Processing Systems 37, 2663-2685, 2024 | | 2024 |
| Testing with Non-identically Distributed Samples S Garg, C Pabbaraju, K Shiragur, G Valiant arXiv preprint arXiv:2311.11194, 2023 | | 2023 |
