Edgar Dobriban
31 papers · 2019–2026 · 10 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 11 separate collaboration groups - the largest holds only 48% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Edgar Dobriban?
6 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 Hamed Hassani, Insup Lee, Osbert Bastani
15 papers
· 2022–2025
· NeurIPS, ICML, ICLR
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Evaluating the Performance of Large Language Models via Debates
NAACL 2025
A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks
ICML 2024
JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models
NeurIPS 2024
One-Shot Safety Alignment for Large Language Models via Optimal Dualization
NeurIPS 2024
PAC Prediction Sets Under Label Shift
ICLR 2024
Uncertainty in Language Models: Assessment through Rank-Calibration
EMNLP 2024
Automatically Predicting Perceived Conversation Quality in a Pediatric Sample Enriched for Autism
Interspeech 2023
Conformal Frequency Estimation using Discrete Sketched Data with Coverage for Distinct Queries
JMLR 2023
Demystifying Disagreement-on-the-Line in High Dimensions
ICML 2023
T-Cal: An Optimal Test for the Calibration of Predictive Models
JMLR 2023
Collaborative Learning of Discrete Distributions under Heterogeneity and Communication Constraints
NeurIPS 2022
Exploring with Sticky Mittens: Reinforcement Learning with Expert Interventions via Option Templates
CoRL 2022
PAC Prediction Sets Under Covariate Shift
ICLR 2022
PAC Prediction Sets for Meta-Learning
NeurIPS 2022
iDECODe: In-Distribution Equivariance for Conformal Out-of-Distribution Detection
AAAI 2022
5 papers whose co-authors appear nowhere else under this name
Sparse sketches with small inversion bias
COLT 2021
What Causes the Test Error? Going Beyond Bias-Variance via ANOVA
JMLR 2021
DeltaGrad: Rapid retraining of machine learning models
ICML 2020
Implicit Regularization and Convergence for Weight Normalization
NeurIPS 2020
The Implicit Regularization of Stochastic Gradient Flow for Least Squares
ICML 2020