Chirag Pabbaraju
17 papers · 2018–2026 · 5 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+6 more ↓ Show less ↑
🧭 Keyword Pioneer 🐝 Cross-Pollinator (14) 🌍 Conference Polyglot (5) 🏃 Academic Marathon (7) 🌈 Renaissance Researcher (6)
🌍
Conference Polyglot
(5)
🏃
Academic Marathon
(7)
🐝
Cross-Pollinator
(14)
💎
Century Club
(15)
⚡
Prolific Year
(5)
📈
Trend Setter
Conferences
NIPS (7)
ALT (4)
COLT (3)
ICLR (2)
ICML (1)
Top co-authors
Research topics
Keywords
binary classification
(1)
variational inference
(1)
semidefinite programming
(1)
probabilistic inference
(1)
sequential classification
(1)
pac learning
(1)
universal approximation
(1)
efficient computing
(1)
computational efficiency
(1)
multiclass classification
(1)
maximum likelihood
(1)
vc dimension
(1)
multiple instance learning
(1)
partition function
(1)
map estimation
(1)
compression scheme
(1)
uniform convergence
(1)
algorithmic stability
(1)
generalization error
(1)
differential privacy
(1)
Papers
Learning with Monotone Adversarial Corruptions
ALT 2026
Pareto-optimal Non-uniform Language Generation
ALT 2026
A Characterization of List Regression
ALT 2025
Proofs as Explanations: Short Certificates for Reliable Predictions
COLT 2025
Exploring Facets of Language Generation in the Limit
COLT 2025
Lower Bounds for Greedy Teaching Set Constructions
COLT 2025
Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss
ICML 2025
Multiclass Learnability Does Not Imply Sample Compression
ALT 2024
Credit Attribution and Stable Compression
NIPS 2024
Quantifying the Gain in Weak-to-Strong Generalization
NIPS 2024
Provable benefits of score matching
NIPS 2023
Harnessing the power of choices in decision tree learning
NIPS 2023
Pitfalls of Gaussians as a noise distribution in NCE
ICLR 2023
Universal Approximation Using Well-Conditioned Normalizing Flows
NIPS 2021
Estimating Lipschitz constants of monotone deep equilibrium models
ICLR 2021
Efficient semidefinite-programming-based inference for binary and multi-class MRFs
NIPS 2020
Multiple Instance Learning for Efficient Sequential Data Classification on Resource-constrained Devices
NIPS 2018