Aaditya Ramdas

Vector-valued self-normalized concentration inequalities beyond sub-Gaussianity ALT 2026 A Martingale Kernel Two-Sample Test ALT 2026 Eventually LIL Regret: Almost Sure $\ln\ln T$ Regret for a sub-Gaussian Mixture on Unbounded Data ALT 2026 Optimistic Algorithms for Adaptive Estimation of the Average Treatment Effect ICML 2025 Sequential Kernelized Stein Discrepancy AISTATS 2025 Logarithmic Neyman Regret for Adaptive Estimation of the Average Treatment Effect 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 Improving the Statistical Efficiency of Cross-Conformal Prediction ICML 2025 Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedback ICLR 2025 QA-Calibration of Language Model Confidence Scores ICLR 2025 Total Variation Floodgate for Variable Importance Inference in Classification ICML 2024 Semiparametric Efficient Inference in Adaptive Experiments CLEAR 2024 Graph fission and cross-validation AISTATS 2024 Differentially Private Conditional Independence Testing AISTATS 2024 Online multiple testing with e-values AISTATS 2024 Testing exchangeability by pairwise betting AISTATS 2024 Deep anytime-valid hypothesis testing AISTATS 2024 Bias Detection via Signaling NIPS 2024 Reducing sequential change detection to sequential estimation ICML 2024 Fully-Adaptive Composition in Differential Privacy ICML 2023 Online Platt Scaling with Calibeating ICML 2023 Risk-limiting financial audits via weighted sampling without replacement UAI 2023 A Unified Recipe for Deriving (Time-Uniform) PAC-Bayes Bounds JMLR 2023 A Permutation-Free Kernel Independence Test JMLR 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 Sequential Kernelized Independence Testing ICML 2023 Nonparametric Extensions of Randomized Response for Private Confidence Sets ICML 2023 Huber-robust confidence sequences AISTATS 2023 Sequential Changepoint Detection via Backward Confidence Sequences ICML 2023 Faster online calibration without randomization: interval forecasts and the power of two choices COLT 2022 Interactive rank testing by betting CLEAR 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 Brownian Noise Reduction: Maximizing Privacy Subject to Accuracy Constraints NIPS 2022 A unified framework for bandit multiple testing NIPS 2021 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 Familywise Error Rate Control by Interactive Unmasking ICML 2020 Distribution-free binary classification: prediction sets, confidence intervals and calibration NIPS 2020 On Conditional Versus Marginal Bias in Multi-Armed Bandits ICML 2020 Confidence sequences for sampling without replacement NIPS 2020 The Power of Batching in Multiple Hypothesis Testing AISTATS 2020 Online Control of the False Coverage Rate and False Sign Rate ICML 2020 A Higher-Order Kolmogorov-Smirnov Test AISTATS 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 Conformal Prediction Under Covariate Shift NIPS 2019 SAFFRON: an Adaptive Algorithm for Online Control of the False Discovery Rate ICML 2018 Online control of the false discovery rate with decaying memory NIPS 2017 A framework for Multi-A(rmed)/B(andit) Testing with Online FDR Control 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