← Authors

Aaditya Ramdas

66 papers · 2013–2025 · 10 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (10) πŸƒ Academic Marathon (12) 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (20) 🐝 Cross-Pollinator (15) 🌈 Renaissance Researcher (6) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge πŸ† Keyword Champion (2) πŸ”¬ Deep Specialist (23) πŸ“ˆ Trend Setter ⚑ Prolific Year (15) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (67) πŸ’Ž Century Club (66) πŸ”₯ Unstoppable (13) ❓ The Questioner

Conferences

NIPS (18) ICML (17) AISTATS (12) ICLR (4) JMLR (4) CLEAR (3) COLT (3) IJCAI (2) UAI (2) ALT (1)

Top co-authors

Shubhanshu Shekhar (6) Chirag Gupta (6) Aleksandr Podkopaev (5) Aarti Singh (5) Larry Wasserman (4) Justin Whitehouse (4) Martin J. Wainwright (3) Tijana Zrnic (3) Shiva Kasiviswanathan (3) Ziyu Xu (3)

Research topics

Statistics (5) Differential Privacy (2)

Keywords

false discovery rate (9) hypothesis testing (8) confidence sequence (8) sequential testing (6) multiple hypothesis testing (5) online learning (5) kernel methods (5) two-sample test (4) differential privacy (4) conformal prediction (3) causal inference (3) permutation test (3) confidence interval (3) online testing (3) multi-armed bandit (3) binary classification (3) nonparametric testing (3) sequential analysis (3) statistical inference (2) stochastic process (2)

Papers

QA-Calibration of Language Model Confidence Scores ICLR 2025
Sequential Kernelized Stein Discrepancy AISTATS 2025
Time-Uniform Self-Normalized Concentration for Vector-Valued Processes (Extended Abstract) COLT 2025
Scalable Causal Structure Learning via Amortized Conditional Independence Testing CLEAR 2025
Logarithmic Neyman Regret for Adaptive Estimation of the Average Treatment Effect AISTATS 2025
Optimistic Algorithms for Adaptive Estimation of the Average Treatment Effect ICML 2025
Improving the Statistical Efficiency of Cross-Conformal Prediction ICML 2025
Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedback ICLR 2025
Bias Detection via Signaling NIPS 2024
Semiparametric Efficient Inference in Adaptive Experiments CLEAR 2024
Total Variation Floodgate for Variable Importance Inference in Classification ICML 2024
Testing exchangeability by pairwise betting AISTATS 2024
Online multiple testing with e-values AISTATS 2024
Differentially Private Conditional Independence Testing AISTATS 2024
Reducing sequential change detection to sequential estimation ICML 2024
Deep anytime-valid hypothesis testing AISTATS 2024
Graph fission and cross-validation AISTATS 2024
Risk-limiting financial audits via weighted sampling without replacement UAI 2023
Auditing Fairness by Betting NIPS 2023
Adaptive Privacy Composition for Accuracy-first Mechanisms NIPS 2023
Counterfactually Comparing Abstaining Classifiers NIPS 2023
On the Sublinear Regret of GP-UCB NIPS 2023
Sequential Predictive Two-Sample and Independence Testing NIPS 2023
An Efficient Doubly-Robust Test for the Kernel Treatment Effect NIPS 2023
Huber-robust confidence sequences AISTATS 2023
Online Platt Scaling with Calibeating ICML 2023
Sequential Kernelized Independence Testing ICML 2023
Sequential Changepoint Detection via Backward Confidence Sequences ICML 2023
Nonparametric Extensions of Randomized Response for Private Confidence Sets ICML 2023
Fully-Adaptive Composition in Differential Privacy ICML 2023
A Permutation-Free Kernel Independence Test JMLR 2023
A Unified Recipe for Deriving (Time-Uniform) PAC-Bayes Bounds JMLR 2023
Brownian Noise Reduction: Maximizing Privacy Subject to Accuracy Constraints NIPS 2022
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
A permutation-free kernel two-sample test NIPS 2022
Interactive rank testing by betting CLEAR 2022
Uncertainty quantification using martingales for misspecified Gaussian processes ALT 2021
Distribution-Free Calibration Guarantees for Histogram Binning without Sample Splitting ICML 2021
Off-Policy Confidence Sequences ICML 2021
Asynchronous Online Testing of Multiple Hypotheses JMLR 2021
Path Length Bounds for Gradient Descent and Flow JMLR 2021
Distribution-free uncertainty quantification for classification under label shift UAI 2021
A unified framework for bandit multiple testing NIPS 2021
On Conditional Versus Marginal Bias in Multi-Armed Bandits ICML 2020
Online Control of the False Coverage Rate and False Sign Rate ICML 2020
Confidence sequences for sampling without replacement NIPS 2020
The Power of Batching in Multiple Hypothesis Testing AISTATS 2020
Distribution-free binary classification: prediction sets, confidence intervals and calibration NIPS 2020
Familywise Error Rate Control by Interactive Unmasking ICML 2020
A Higher-Order Kolmogorov-Smirnov Test AISTATS 2019
Conformal Prediction Under Covariate Shift NIPS 2019
Are sample means in multi-armed bandits positively or negatively biased? NIPS 2019
ADDIS: an adaptive discarding algorithm for online FDR control with conservative nulls NIPS 2019
SAFFRON: an Adaptive Algorithm for Online Control of the False Discovery Rate ICML 2018
A framework for Multi-A(rmed)/B(andit) Testing with Online FDR Control NIPS 2017
Online control of the false discovery rate with decaying memory NIPS 2017
Asymptotic behavior of \ell_p-based Laplacian regularization in semi-supervised learning COLT 2016
Nonparametric Independence Testing for Small Sample Sizes IJCAI 2015
Fast Two-Sample Testing with Analytic Representations of Probability Measures NIPS 2015
On the High Dimensional Power of a Linear-Time Two Sample Test under Mean-shift Alternatives AISTATS 2015
Advances in Nonparametric Hypothesis Testing IJCAI 2015
An Analysis of Active Learning with Uniform Feature Noise AISTATS 2014
Margins, Kernels and Non-linear Smoothed Perceptrons ICML 2014
Optimal rates for stochastic convex optimization under Tsybakov noise condition ICML 2013