Chirag Pabbaraju

According to our database, Chirag Pabbaraju authored at least 17 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A Characterization of List Regression.

Chirag Pabbaraju, Sahasrajit Sarmasarkar

CoRR, 2024

Credit Attribution and Stable Compression.

Roi Livni, Shay Moran, Kobbi Nissim, Chirag Pabbaraju

CoRR, 2024

Quantifying the Gain in Weak-to-Strong Generalization.

Moses Charikar, Chirag Pabbaraju, Kirankumar Shiragur

CoRR, 2024

Multiclass Learnability Does Not Imply Sample Compression.

Chirag Pabbaraju

Proceedings of the International Conference on Algorithmic Learning Theory, 2024

2023

Average-Case Dimensionality Reduction in 𝓁₁: Tree Ising Models.

Moses Charikar, Spencer Compton, Chirag Pabbaraju

CoRR, 2023

Testing with Non-identically Distributed Samples.

Shivam Garg, Chirag Pabbaraju, Kirankumar Shiragur, Gregory Valiant

CoRR, 2023

A Characterization of List Learnability.

Moses Charikar, Chirag Pabbaraju

Proceedings of the 55th Annual ACM Symposium on Theory of Computing, 2023

Provable benefits of score matching.

Chirag Pabbaraju, Dhruv Rohatgi, Anish Prasad Sevekari, Holden Lee, Ankur Moitra, Andrej Risteski

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Harnessing the power of choices in decision tree learning.

Guy Blanc, Jane Lange, Chirag Pabbaraju, Colin Sullivan, Li-Yang Tan, Mo Tiwari

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Pitfalls of Gaussians as a noise distribution in NCE.

Holden Lee, Chirag Pabbaraju, Anish Prasad Sevekari, Andrej Risteski

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2021

Universal Approximation for Log-concave Distributions using Well-conditioned Normalizing Flows.

Holden Lee, Chirag Pabbaraju, Anish Prasad Sevekari, Andrej Risteski

CoRR, 2021

Universal Approximation Using Well-Conditioned Normalizing Flows.

Holden Lee, Chirag Pabbaraju, Anish Prasad Sevekari, Andrej Risteski

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Estimating Lipschitz constants of monotone deep equilibrium models.

Chirag Pabbaraju, Ezra Winston, J. Zico Kolter

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Efficient semidefinite-programming-based inference for binary and multi-class MRFs.

Chirag Pabbaraju, Po-Wei Wang, J. Zico Kolter

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Learning Functions over Sets via Permutation Adversarial Networks.

Chirag Pabbaraju, Prateek Jain

CoRR, 2019

GesturePod: Enabling On-device Gesture-based Interaction for White Cane Users.

Shishir G. Patil, Don Kurian Dennis, Chirag Pabbaraju, Nadeem Shaheer, Harsha Vardhan Simhadri, Vivek Seshadri, Manik Varma, Prateek Jain

Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology, 2019

2018

Multiple Instance Learning for Efficient Sequential Data Classification on Resource-constrained Devices.

Don Kurian Dennis, Chirag Pabbaraju, Harsha Vardhan Simhadri, Prateek Jain

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018