Aaditya Ramdas
72 papers · 2013–2026 · 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 28 separate collaboration groups - the largest holds only 17% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Aaditya Ramdas?
10 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 Chirag Gupta, Aleksandr Podkopaev, Shiva Kasiviswanathan
12 papers
· 2020–2025
· ICLR, ICML, NeurIPS
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QA-Calibration of Language Model Confidence Scores
ICLR 2025
Differentially Private Conditional Independence Testing
AISTATS 2024
Online Platt Scaling with Calibeating
ICML 2023
Sequential Kernelized Independence Testing
ICML 2023
Sequential Predictive Two-Sample and Independence Testing
NeurIPS 2023
Faster online calibration without randomization: interval forecasts and the power of two choices
COLT 2022
Top-label calibration and multiclass-to-binary reductions
ICLR 2022
Tracking the risk of a deployed model and detecting harmful distribution shifts
ICLR 2022
Distribution-Free Calibration Guarantees for Histogram Binning without Sample Splitting
ICML 2021
Distribution-free uncertainty quantification for classification under label shift
UAI 2021
Path Length Bounds for Gradient Descent and Flow
JMLR 2021
Distribution-free binary classification: prediction sets, confidence intervals and calibration
NeurIPS 2020
18 papers whose co-authors appear nowhere else under this name
A Martingale Kernel Two-Sample Test
ALT 2026
Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedback
ICLR 2025
Bias Detection via Signaling
NeurIPS 2024
Semiparametric Efficient Inference in Adaptive Experiments
CLeaR 2024
Testing exchangeability by pairwise betting
AISTATS 2024
Total Variation Floodgate for Variable Importance Inference in Classification
ICML 2024
An Efficient Doubly-Robust Test for the Kernel Treatment Effect
NeurIPS 2023
Counterfactually Comparing Abstaining Classifiers
NeurIPS 2023
Off-Policy Confidence Sequences
ICML 2021
Uncertainty quantification using martingales for misspecified Gaussian processes
ALT 2021
Online Control of the False Coverage Rate and False Sign Rate
ICML 2020
A Higher-Order Kolmogorov-Smirnov Test
AISTATS 2019
ADDIS: an adaptive discarding algorithm for online FDR control with conservative nulls
NeurIPS 2019
Conformal Prediction Under Covariate Shift
NeurIPS 2019
Advances in Nonparametric Hypothesis Testing
IJCAI 2015
Fast Two-Sample Testing with Analytic Representations of Probability Measures
NeurIPS 2015
Nonparametric Independence Testing for Small Sample Sizes
IJCAI 2015
Margins, Kernels and Non-linear Smoothed Perceptrons
ICML 2014