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 | 58 | 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 | 37* | 2019 |
Estimating Lipschitz constants of monotone deep equilibrium models C Pabbaraju, E Winston, JZ Kolter International Conference on Learning Representations, 2020 | 30 | 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 | 11* | 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 | 7 | 2023 |
Provable benefits of score matching C Pabbaraju, D Rohatgi, AP Sevekari, H Lee, A Moitra, A Risteski Advances in Neural Information Processing Systems 36, 2024 | 5 | 2024 |
Pitfalls of Gaussians as a noise distribution in NCE H Lee, C Pabbaraju, A Sevekari, A Risteski arXiv preprint arXiv:2210.00189, 2022 | 4 | 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 | 4 | 2020 |
Multiclass Learnability Does Not Imply Sample Compression C Pabbaraju International Conference on Algorithmic Learning Theory, 930-944, 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, 2024 | | 2024 |
Average-Case Dimensionality Reduction in : Tree Ising Models M Charikar, S Compton, C Pabbaraju arXiv preprint arXiv:2312.02435, 2023 | | 2023 |
Testing with Non-identically Distributed Samples S Garg, C Pabbaraju, K Shiragur, G Valiant arXiv preprint arXiv:2311.11194, 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 |