Chirag Pabbaraju

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 22

Top Topics

Multiple Instance

Sequential Data

Identically Distributed

Top Venues

Publications

Chirag Pabbaraju
Multiclass Learnability Does Not Imply Sample Compression. ALT (2024)
Moses Charikar, Chirag Pabbaraju, Kirankumar Shiragur
Quantifying the Gain in Weak-to-Strong Generalization. CoRR (2024)
Roi Livni, Shay Moran, Kobbi Nissim, Chirag Pabbaraju
Credit Attribution and Stable Compression. CoRR (2024)
Moses Charikar, Chirag Pabbaraju
A Characterization of List Learnability. STOC (2023)
Guy Blanc, Jane Lange, Chirag Pabbaraju, Colin Sullivan, Li-Yang Tan, Mo Tiwari
Harnessing the power of choices in decision tree learning. NeurIPS (2023)
Chirag Pabbaraju, Dhruv Rohatgi, Anish Prasad Sevekari, Holden Lee, Ankur Moitra, Andrej Risteski
Provable benefits of score matching. NeurIPS (2023)
Shivam Garg, Chirag Pabbaraju, Kirankumar Shiragur, Gregory Valiant
Testing with Non-identically Distributed Samples. CoRR (2023)
Chirag Pabbaraju, Dhruv Rohatgi, Anish Prasad Sevekari, Holden Lee, Ankur Moitra, Andrej Risteski
Provable benefits of score matching. CoRR (2023)
Chirag Pabbaraju
Multiclass Learnability Does Not Imply Sample Compression. CoRR (2023)
Moses Charikar, Spencer Compton, Chirag Pabbaraju
: Tree Ising Models. CoRR (2023)
Holden Lee, Chirag Pabbaraju, Anish Prasad Sevekari, Andrej Risteski
Pitfalls of Gaussians as a noise distribution in NCE. ICLR (2023)
Guy Blanc, Jane Lange, Chirag Pabbaraju, Colin Sullivan, Li-Yang Tan, Mo Tiwari
Harnessing the Power of Choices in Decision Tree Learning. CoRR (2023)
Moses Charikar, Chirag Pabbaraju
A Characterization of List Learnability. CoRR (2022)
Holden Lee, Chirag Pabbaraju, Anish Prasad Sevekari, Andrej Risteski
Pitfalls of Gaussians as a noise distribution in NCE. CoRR (2022)
Holden Lee, Chirag Pabbaraju, Anish Prasad Sevekari, Andrej Risteski
Universal Approximation Using Well-Conditioned Normalizing Flows. NeurIPS (2021)
Holden Lee, Chirag Pabbaraju, Anish Sevekari, Andrej Risteski
Universal Approximation for Log-concave Distributions using Well-conditioned Normalizing Flows. CoRR (2021)
Chirag Pabbaraju, Ezra Winston, J. Zico Kolter
Estimating Lipschitz constants of monotone deep equilibrium models. ICLR (2021)
Chirag Pabbaraju, Po-Wei Wang, J. Zico Kolter
Efficient semidefinite-programming-based inference for binary and multi-class MRFs. CoRR (2020)
Chirag Pabbaraju, Po-Wei Wang, J. Zico Kolter
Efficient semidefinite-programming-based inference for binary and multi-class MRFs. NeurIPS (2020)
Chirag Pabbaraju, Prateek Jain
Learning Functions over Sets via Permutation Adversarial Networks. CoRR (2019)
Shishir G. Patil, Don Kurian Dennis, Chirag Pabbaraju, Nadeem Shaheer, Harsha Vardhan Simhadri, Vivek Seshadri, Manik Varma, Prateek Jain
GesturePod: Enabling On-device Gesture-based Interaction for White Cane Users. UIST (2019)
Don Kurian Dennis, Chirag Pabbaraju, Harsha Vardhan Simhadri, Prateek Jain
Multiple Instance Learning for Efficient Sequential Data Classification on Resource-constrained Devices. NeurIPS (2018)