Aaditya Ramdas

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 141

Top Venues

Publications

Shubhanshu Shekhar, Aaditya Ramdas
Nonparametric Two-Sample Testing by Betting. IEEE Trans. Inf. Theory 70 (2) (2024)
James Leiner, Aaditya Ramdas
Graph fission and cross-validation. AISTATS (2024)
Iden Kalemaj, Shiva Prasad Kasiviswanathan, Aaditya Ramdas
Differentially Private Conditional Independence Testing. AISTATS (2024)
Ziyu Xu, Aaditya Ramdas
Online multiple testing with e-values. AISTATS (2024)
Thomas Cook, Alan Mishler, Aaditya Ramdas
Semiparametric Efficient Inference in Adaptive Experiments. CLeaR (2024)
Aytijhya Saha, Aaditya Ramdas
Testing exchangeability by pairwise betting. AISTATS (2024)
Teodora Pandeva, Patrick Forré, Aaditya Ramdas, Shubhanshu Shekhar
Deep anytime-valid hypothesis testing. AISTATS (2024)
Yo Joong Choe, Aaditya Ramdas
Combining Evidence Across Filtrations. CoRR (2024)
Yiling Chen, Tao Lin, Ariel D. Procaccia, Aaditya Ramdas, Itai Shapira
Bias Detection Via Signaling. CoRR (2024)
Matteo Gasparin, Aaditya Ramdas
Conformal online model aggregation. CoRR (2024)
Ben Chugg, Hongjian Wang, Aaditya Ramdas
Time-Uniform Confidence Spheres for Means of Random Vectors. CoRR (2023)
Iden Kalemaj, Shiva Prasad Kasiviswanathan, Aaditya Ramdas
Differentially Private Conditional Independence Testing. CoRR (2023)
Hongjian Wang, Aaditya Ramdas
Anytime-valid t-tests and confidence sequences for Gaussian means with unknown variance. CoRR (2023)
Aleksandr Podkopaev, Aaditya Ramdas
Sequential Predictive Two-Sample and Independence Testing. CoRR (2023)
Ben Chugg, Santiago Cortes-Gomez, Bryan Wilder, Aaditya Ramdas
Auditing Fairness by Betting. CoRR (2023)
Justin Whitehouse, Zhiwei Steven Wu, Aaditya Ramdas
Improved Self-Normalized Concentration in Hilbert Spaces: Sublinear Regret for GP-UCB. CoRR (2023)
Justin Whitehouse, Aaditya Ramdas, Ryan Rogers, Steven Wu
Fully-Adaptive Composition in Differential Privacy. ICML (2023)
Shubhanshu Shekhar, Ziyu Xu, Zachary C. Lipton, Pierre J. Liang, Aaditya Ramdas
Risk-limiting Financial Audits via Weighted Sampling without Replacement. CoRR (2023)
Teodora Pandeva, Patrick Forré, Aaditya Ramdas, Shubhanshu Shekhar
Deep anytime-valid hypothesis testing. CoRR (2023)
Aleksandr Podkopaev, Patrick Blöbaum, Shiva Prasad Kasiviswanathan, Aaditya Ramdas
Sequential Kernelized Independence Testing. ICML (2023)
Tudor Manole, Aaditya Ramdas
Martingale Methods for Sequential Estimation of Convex Functionals and Divergences. IEEE Trans. Inf. Theory 69 (7) (2023)
Hongjian Wang, Aaditya Ramdas
Huber-Robust Confidence Sequences. CoRR (2023)
Shubhanshu Shekhar, Aaditya Ramdas
Sequential Changepoint Detection via Backward Confidence Sequences. ICML (2023)
Yo Joong Choe, Aditya Gangrade, Aaditya Ramdas
Counterfactually Comparing Abstaining Classifiers. NeurIPS (2023)
Justin Whitehouse, Aaditya Ramdas, Zhiwei Steven Wu
On the Sublinear Regret of GP-UCB. NeurIPS (2023)
Diego Martinez-Taboada, Aaditya Ramdas, Edward Kennedy
An Efficient Doubly-Robust Test for the Kernel Treatment Effect. NeurIPS (2023)
Aaditya Ramdas, Tudor Manole
Randomized and Exchangeable Improvements of Markov's, Chebyshev's and Chernoff's Inequalities. CoRR (2023)
Ian Waudby-Smith, Zhiwei Steven Wu, Aaditya Ramdas
Nonparametric Extensions of Randomized Response for Private Confidence Sets. ICML (2023)
Shubhanshu Shekhar, Ziyu Xu, Zachary C. Lipton, Pierre J. Liang, Aaditya Ramdas
Risk-limiting financial audits via weighted sampling without replacement. UAI (2023)
Shubhanshu Shekhar, Aaditya Ramdas
On the near-optimality of betting confidence sets for bounded means. CoRR (2023)
Shubhanshu Shekhar, Aaditya Ramdas
Reducing sequential change detection to sequential estimation. CoRR (2023)
Ryan Rogers, Gennady Samorodnitsky, Zhiwei Steven Wu, Aaditya Ramdas
Adaptive Privacy Composition for Accuracy-first Mechanisms. CoRR (2023)
Ben Chugg, Hongjian Wang, Aaditya Ramdas
A unified recipe for deriving (time-uniform) PAC-Bayes bounds. CoRR (2023)
Shubhanshu Shekhar, Aaditya Ramdas
Sequential change detection via backward confidence sequences. CoRR (2023)
Yo Joong Choe, Aditya Gangrade, Aaditya Ramdas
Counterfactually Comparing Abstaining Classifiers. CoRR (2023)
Akash Maharaj, Ritwik Sinha, David Arbour, Ian Waudby-Smith, Simon Z. Liu, Moumita Sinha, Raghavendra Addanki, Aaditya Ramdas, Manas Garg, Viswanathan Swaminathan
Anytime-Valid Confidence Sequences in an Enterprise A/B Testing Platform. WWW (Companion Volume) (2023)
Ben Chugg, Santiago Cortes-Gomez, Bryan Wilder, Aaditya Ramdas
Auditing Fairness by Betting. NeurIPS (2023)
Hongjian Wang, Aaditya Ramdas
Huber-robust confidence sequences. AISTATS (2023)
Aleksandr Podkopaev, Aaditya Ramdas
Sequential Predictive Two-Sample and Independence Testing. NeurIPS (2023)
Thomas Cook, Alan Mishler, Aaditya Ramdas
Semiparametric Efficient Inference in Adaptive Experiments. CoRR (2023)
Zhenyuan Zhang, Aaditya Ramdas, Ruodu Wang
When do exact and powerful p-values and e-values exist? CoRR (2023)
Chirag Gupta, Aaditya Ramdas
Online Platt Scaling with Calibeating. ICML (2023)
Ryan M. Rogers, Gennady Samorodnitsky, Zhiwei teven Wu, Aaditya Ramdas
Adaptive Privacy Composition for Accuracy-first Mechanisms. NeurIPS (2023)
Chirag Gupta, Aaditya Ramdas
Online Platt Scaling with Calibeating. CoRR (2023)
Justin Whitehouse, Aaditya Ramdas, Zhiwei Steven Wu, Ryan M. Rogers
Brownian Noise Reduction: Maximizing Privacy Subject to Accuracy Constraints. NeurIPS (2022)
Aleksandr Podkopaev, Patrick Blöbaum, Shiva Prasad Kasiviswanathan, Aaditya Ramdas
Sequential Kernelized Independence Testing. CoRR (2022)
Johannes Ruf, Martin Larsson, Wouter M. Koolen, Aaditya Ramdas
A composite generalization of Ville's martingale theorem. CoRR (2022)
Chirag Gupta, Arun K. Kuchibhotla, Aaditya Ramdas
Nested conformal prediction and quantile out-of-bag ensemble methods. Pattern Recognit. 127 (2022)
Chirag Gupta, Aaditya Ramdas
Faster online calibration without randomization: interval forecasts and the power of two choices. CoRR (2022)
Boyan Duan, Aaditya Ramdas, Larry A. Wasserman
Interactive rank testing by betting. CLeaR (2022)
Aaditya Ramdas, Johannes Ruf, Martin Larsson, Wouter M. Koolen
Testing exchangeability: Fork-convexity, supermartingales and e-processes. Int. J. Approx. Reason. 141 (2022)
Chirag Gupta, Aaditya Ramdas
Top-label calibration and multiclass-to-binary reductions. ICLR (2022)
Ian Waudby-Smith, Lili Wu, Aaditya Ramdas, Nikos Karampatziakis, Paul Mineiro
Anytime-valid off-policy inference for contextual bandits. CoRR (2022)
Aleksandr Podkopaev, Aaditya Ramdas
Tracking the risk of a deployed model and detecting harmful distribution shifts. ICLR (2022)
Shubhanshu Shekhar, Ilmun Kim, Aaditya Ramdas
A Permutation-free Kernel Two-Sample Test. CoRR (2022)
Justin Whitehouse, Zhiwei Steven Wu, Aaditya Ramdas, Ryan Rogers
Brownian Noise Reduction: Maximizing Privacy Subject to Accuracy Constraints. CoRR (2022)
Shubhanshu Shekhar, Ilmun Kim, Aaditya Ramdas
A permutation-free kernel two-sample test. NeurIPS (2022)
Aaditya Ramdas, Jianbo Chen, Martin J. Wainwright, Michael I. Jordan
QuTE: decentralized multiple testing on sensor networks with false discovery rate control. CoRR (2022)
Shubhanshu Shekhar, Ilmun Kim, Aaditya Ramdas
A Permutation-Free Kernel Independence Test. CoRR (2022)
Justin Whitehouse, Aaditya Ramdas, Ryan Rogers, Zhiwei Steven Wu
Fully Adaptive Composition in Differential Privacy. CoRR (2022)
Aaditya Ramdas, Peter Grünwald, Vladimir Vovk, Glenn Shafer
Game-theoretic statistics and safe anytime-valid inference. CoRR (2022)
Chirag Gupta, Aaditya Ramdas
Faster online calibration without randomization: interval forecasts and the power of two choices. COLT (2022)
Ian Waudby-Smith, Zhiwei Steven Wu, Aaditya Ramdas
Locally private nonparametric confidence intervals and sequences. CoRR (2022)
Tudor Manole, Aaditya Ramdas
Sequential Estimation of Convex Divergences using Reverse Submartingales and Exchangeable Filtrations. CoRR (2021)
Shubhanshu Shekhar, Aaditya Ramdas
Game-theoretic Formulations of Sequential Nonparametric One- and Two-Sample Tests. CoRR (2021)
Ziyu Xu, Ruodu Wang, Aaditya Ramdas
A unified framework for bandit multiple testing. CoRR (2021)
Chirag Gupta, Sivaraman Balakrishnan, Aaditya Ramdas
Path Length Bounds for Gradient Descent and Flow. J. Mach. Learn. Res. 22 (2021)
Ojash Neopane, Aaditya Ramdas, Aarti Singh
Best Arm Identification under Additive Transfer Bandits. ACSCC (2021)
Aleksandr Podkopaev, Aaditya Ramdas
Distribution-free uncertainty quantification for classification under label shift. UAI (2021)
Nikos Karampatziakis, Paul Mineiro, Aaditya Ramdas
Off-Policy Confidence Sequences. ICML (2021)
Yo Joong Choe, Aaditya Ramdas
Comparing Sequential Forecasters. CoRR (2021)
Tijana Zrnic, Aaditya Ramdas, Michael I. Jordan
Asynchronous Online Testing of Multiple Hypotheses. J. Mach. Learn. Res. 22 (2021)
Robin Dunn, Larry A. Wasserman, Aaditya Ramdas
Universal Inference Meets Random Projections: A Scalable Test for Log-concavity. CoRR (2021)
Ziyu Xu, Ruodu Wang, Aaditya Ramdas
A unified framework for bandit multiple testing. NeurIPS (2021)
Willie Neiswanger, Aaditya Ramdas
Uncertainty quantification using martingales for misspecified Gaussian processes. ALT (2021)
Aleksandr Podkopaev, Aaditya Ramdas
Tracking the risk of a deployed model and detecting harmful distribution shifts. CoRR (2021)
Chirag Gupta, Aaditya Ramdas
Distribution-Free Calibration Guarantees for Histogram Binning without Sample Splitting. ICML (2021)
Ziyu Xu, Aaditya Ramdas
Dynamic Algorithms for Online Multiple Testing. MSML (2021)
Nikos Karampatziakis, Paul Mineiro, Aaditya Ramdas
Off-policy Confidence Sequences. CoRR (2021)
Ojash Neopane, Aaditya Ramdas, Aarti Singh
Best Arm Identification under Additive Transfer Bandits. CoRR (2021)
Aleksandr Podkopaev, Aaditya Ramdas
Distribution-free uncertainty quantification for classification under label shift. CoRR (2021)
Ian Waudby-Smith, Philip B. Stark, Aaditya Ramdas
RiLACS: Risk Limiting Audits via Confidence Sequences. E-VOTE-ID (2021)
Aaditya Ramdas, Johannes Ruf, Martin Larsson, Wouter M. Koolen
How can one test if a binary sequence is exchangeable? Fork-convex hulls, supermartingales, and Snell envelopes. CoRR (2021)
Jaehyeok Shin, Aaditya Ramdas, Alessandro Rinaldo
Nonparametric Iterated-Logarithm Extensions of the Sequential Generalized Likelihood Ratio Test. IEEE J. Sel. Areas Inf. Theory 2 (2) (2021)
Jaehyeok Shin, Aaditya Ramdas, Alessandro Rinaldo
On the Bias, Risk, and Consistency of Sample Means in Multi-armed Bandits. SIAM J. Math. Data Sci. 3 (4) (2021)
Ian Waudby-Smith, Aaditya Ramdas
Confidence sequences for sampling without replacement. NeurIPS (2020)
Nil-Jana Akpinar, Aaditya Ramdas, Umut Acar
Analyzing Student Strategies In Blended Courses Using Clickstream Data. CoRR (2020)
Asaf Weinstein, Aaditya Ramdas
Online Control of the False Coverage Rate and False Sign Rate. ICML (2020)
Chirag Gupta, Aleksandr Podkopaev, Aaditya Ramdas
Distribution-free binary classification: prediction sets, confidence intervals and calibration. NeurIPS (2020)
Chirag Gupta, Aleksandr Podkopaev, Aaditya Ramdas
Distribution-free binary classification: prediction sets, confidence intervals and calibration. CoRR (2020)
Jaehyeok Shin, Aaditya Ramdas, Alessandro Rinaldo
On Conditional Versus Marginal Bias in Multi-Armed Bandits. ICML (2020)
Nil-Jana Akpinar, Aaditya Ramdas, Umut Acar
Analyzing Student Strategies In Blended Courses Using Clickstream Data. EDM (2020)
Boyan Duan, Aaditya Ramdas, Larry A. Wasserman
Familywise Error Rate Control by Interactive Unmasking. ICML (2020)
Willie Neiswanger, Aaditya Ramdas
Uncertainty quantification using martingales for misspecified Gaussian processes. CoRR (2020)
Tijana Zrnic, Daniel Jiang, Aaditya Ramdas, Michael I. Jordan
The Power of Batching in Multiple Hypothesis Testing. AISTATS (2020)
Ahmed El Alaoui, Aaditya Ramdas, Florent Krzakala, Lenka Zdeborová, Michael I. Jordan
Decoding from Pooled Data: Sharp Information-Theoretic Bounds. SIAM J. Math. Data Sci. 1 (1) (2019)
Chirag Gupta, Sivaraman Balakrishnan, Aaditya Ramdas
Path Length Bounds for Gradient Descent and Flow. CoRR (2019)
Veeranjaneyulu Sadhanala, Yu-Xiang Wang, Aaditya Ramdas, Ryan J. Tibshirani
A Higher-Order Kolmogorov-Smirnov Test. CoRR (2019)
Jinjin Tian, Aaditya Ramdas
ADDIS: an adaptive discarding algorithm for online FDR control with conservative nulls. NeurIPS (2019)
Ahmed El Alaoui, Aaditya Ramdas, Florent Krzakala, Lenka Zdeborová, Michael I. Jordan
Decoding From Pooled Data: Phase Transitions of Message Passing. IEEE Trans. Inf. Theory 65 (1) (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Aaditya Ramdas