| 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 | 51 | 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 | 35* | 2019 |
| Estimating Lipschitz constants of monotone deep equilibrium models C Pabbaraju, E Winston, JZ Kolter International Conference on Learning Representations, 2020 | 28 | 2020 |
| Universal approximation for log-concave distributions using well-conditioned normalizing flows H Lee, C Pabbaraju, A Sevekari, A Risteski arXiv preprint arXiv:2107.02951, 2021 | 9* | 2021 |
| Learning functions over sets via permutation adversarial networks C Pabbaraju, P Jain arXiv preprint arXiv:1907.05638, 2019 | 8 | 2019 |
| A characterization of list learnability M Charikar, C Pabbaraju Proceedings of the 55th Annual ACM Symposium on Theory of Computing, 1713-1726, 2023 | 5 | 2023 |
| Pitfalls of Gaussians as a noise distribution in NCE H Lee, C Pabbaraju, A Sevekari, A Risteski arXiv preprint arXiv:2210.00189, 2022 | 3 | 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 | 3 | 2020 |
| Testing with Non-identically Distributed Samples S Garg, C Pabbaraju, K Shiragur, G Valiant arXiv preprint arXiv:2311.11194, 2023 | | 2023 |
| Harnessing the Power of Choices in Decision Tree Learning G Blanc, J Lange, C Pabbaraju, C Sullivan, LY Tan, M Tiwari arXiv preprint arXiv:2310.01551, 2023 | | 2023 |
| Multiclass Learnability Does Not Imply Sample Compression C Pabbaraju arXiv preprint arXiv:2308.06424, 2023 | | 2023 |
| Provable benefits of score matching C Pabbaraju, D Rohatgi, A Sevekari, H Lee, A Moitra, A Risteski arXiv preprint arXiv:2306.01993, 2023 | | 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 | | 2023 |
