Pranjal Awasthi
54 papers · 2010–2025 · 9 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 15 separate collaboration groups - the largest holds only 43% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Pranjal Awasthi?
7 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Mehryar Mohri, Satyen Kale, Anqi Mao
10 papers
· 2020–2024
· NeurIPS, ICML, ALT
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Semi-supervised Group DRO: Combating Sparsity with Unlabeled Data
ALT 2024
Theoretically Grounded Loss Functions and Algorithms for Adversarial Robustness
AISTATS 2023
Agnostic Learnability of Halfspaces via Logistic Loss
ICML 2022
H-Consistency Bounds for Surrogate Loss Minimizers
ICML 2022
Multi-Class H-Consistency Bounds
NeurIPS 2022
A Deep Conditioning Treatment of Neural Networks
ALT 2021
Calibration and Consistency of Adversarial Surrogate Losses
NeurIPS 2021
On the Existence of The Adversarial Bayes Classifier
NeurIPS 2021
Adversarial Learning Guarantees for Linear Hypotheses and Neural Networks
ICML 2020
PAC-Bayes Learning Bounds for Sample-Dependent Priors
NeurIPS 2020
8 papers whose co-authors appear nowhere else under this name
Theory and Algorithm for Batch Distribution Drift Problems
AISTATS 2023
Semi-supervised Active Linear Regression
NeurIPS 2022
Adversarial Robustness Across Representation Spaces
CVPR 2021
Neural Active Learning with Performance Guarantees
NeurIPS 2021
Crowdsourcing with Arbitrary Adversaries
ICML 2018
Robust Vertex Enumeration for Convex Hulls in High Dimensions
AISTATS 2018
Learning Using Local Membership Queries
COLT 2013
Supervised Clustering
NeurIPS 2010