| 2026 | COLT | Almost sure null bankruptcy of testing-by-betting strategies. | Hongjian Wang, Shubhada Agrawal, Aaditya Ramdas |
| 2025 | AISTATS | Sequential Kernelized Stein Discrepancy. | Diego Martinez-Taboada, Aaditya Ramdas |
| 2025 | AISTATS | Logarithmic Neyman Regret for Adaptive Estimation of the Average Treatment Effect. | Ojash Neopane, Aaditya Ramdas, Aarti Singh |
| 2025 | COLT | Time-Uniform Self-Normalized Concentration for Vector-Valued Processes (Extended Abstract). | Justin Whitehouse, Zhiwei Steven Wu, Aaditya Ramdas |
| 2025 | ICLR | QA-Calibration of Language Model Confidence Scores. | Putra Manggala, Atalanti-Anastasia Mastakouri, Elke Kirschbaum, Shiva Prasad Kasiviswanathan, Aaditya Ramdas |
| 2025 | ICLR | Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedback. | Michelle D. Zhao, Henny Admoni, Reid G. Simmons, Aaditya Ramdas, Andrea Bajcsy |
| 2025 | ICML | Improving the Statistical Efficiency of Cross-Conformal Prediction. | Matteo Gasparin, Aaditya Ramdas |
| 2025 | ICML | Optimistic Algorithms for Adaptive Estimation of the Average Treatment Effect. | Ojash Neopane, Aaditya Ramdas, Aarti Singh |
| 2024 | AISTATS | Differentially Private Conditional Independence Testing. | Iden Kalemaj, Shiva Prasad Kasiviswanathan, Aaditya Ramdas |
| 2024 | AISTATS | Graph fission and cross-validation. | James Leiner, Aaditya Ramdas |
| 2024 | AISTATS | Deep anytime-valid hypothesis testing. | Teodora Pandeva, Patrick Forr, Aaditya Ramdas, Shubhanshu Shekhar |
| 2024 | AISTATS | Testing exchangeability by pairwise betting. | Aytijhya Saha, Aaditya Ramdas |
| 2024 | AISTATS | Online multiple testing with e-values. | Ziyu Xu, Aaditya Ramdas |
| 2024 | ICML | Reducing sequential change detection to sequential estimation. | Shubhanshu Shekhar, Aaditya Ramdas |
| 2024 | ICML | Total Variation Floodgate for Variable Importance Inference in Classification. | Wenshuo Wang, Lucas Janson, Lihua Lei, Aaditya Ramdas |
| 2023 | AISTATS | Huber-robust confidence sequences. | Hongjian Wang, Aaditya Ramdas |
| 2023 | ICML | Online Platt Scaling with Calibeating. | Chirag Gupta, Aaditya Ramdas |
| 2023 | ICML | Sequential Kernelized Independence Testing. | Aleksandr Podkopaev, Patrick Blbaum, Shiva Prasad Kasiviswanathan, Aaditya Ramdas |
| 2023 | ICML | Sequential Changepoint Detection via Backward Confidence Sequences. | Shubhanshu Shekhar, Aaditya Ramdas |
| 2023 | ICML | Nonparametric Extensions of Randomized Response for Private Confidence Sets. | Ian Waudby-Smith, Zhiwei Steven Wu, Aaditya Ramdas |
| 2023 | ICML | Fully-Adaptive Composition in Differential Privacy. | Justin Whitehouse, Aaditya Ramdas, Ryan Rogers, Steven Wu |
| 2023 | WWW | Anytime-Valid Confidence Sequences in an Enterprise A/B Testing Platform. | Akash Maharaj, Ritwik Sinha, David Arbour, Ian Waudby-Smith, Simon Z. Liu, Moumita Sinha, Raghavendra Addanki, Aaditya Ramdas, Manas Garg, Viswanathan Swaminathan |
| 2023 | UAI | Risk-limiting financial audits via weighted sampling without replacement. | Shubhanshu Shekhar, Ziyu Xu, Zachary C. Lipton, Pierre J. Liang, Aaditya Ramdas |
| 2022 | COLT | Faster online calibration without randomization: interval forecasts and the power of two choices. | Chirag Gupta, Aaditya Ramdas |
| 2022 | ICLR | Top-label calibration and multiclass-to-binary reductions. | Chirag Gupta, Aaditya Ramdas |
| 2022 | ICLR | Tracking the risk of a deployed model and detecting harmful distribution shifts. | Aleksandr Podkopaev, Aaditya Ramdas |
| 2021 | ACSSC | Best Arm Identification under Additive Transfer Bandits. | Ojash Neopane, Aaditya Ramdas, Aarti Singh |
| 2021 | ALT | Uncertainty quantification using martingales for misspecified Gaussian processes. | Willie Neiswanger, Aaditya Ramdas |
| 2021 | ICML | Distribution-Free Calibration Guarantees for Histogram Binning without Sample Splitting. | Chirag Gupta, Aaditya Ramdas |
| 2021 | ICML | Off-Policy Confidence Sequences. | Nikos Karampatziakis, Paul Mineiro, Aaditya Ramdas |
| 2021 | UAI | Distribution-free uncertainty quantification for classification under label shift. | Aleksandr Podkopaev, Aaditya Ramdas |
| 2020 | AISTATS | The Power of Batching in Multiple Hypothesis Testing. | Tijana Zrnic, Daniel L. Jiang, Aaditya Ramdas, Michael I. Jordan |
| 2020 | EDM | Analyzing Student Strategies In Blended Courses Using Clickstream Data. | Nil-Jana Akpinar, Aaditya Ramdas, Umut A. Acar |
| 2020 | ICML | Familywise Error Rate Control by Interactive Unmasking. | Boyan Duan, Aaditya Ramdas, Larry A. Wasserman |
| 2020 | ICML | On Conditional Versus Marginal Bias in Multi-Armed Bandits. | Jaehyeok Shin, Aaditya Ramdas, Alessandro Rinaldo |
| 2020 | ICML | Online Control of the False Coverage Rate and False Sign Rate. | Asaf Weinstein, Aaditya Ramdas |
| 2019 | AISTATS | A Higher-Order Kolmogorov-Smirnov Test. | Veeranjaneyulu Sadhanala, Yu-Xiang Wang, Aaditya Ramdas, Ryan J. Tibshirani |
| 2019 | KDD | Foundations of Large-Scale Sequential Experimentation. | Aaditya Ramdas |
| 2018 | ICML | SAFFRON: an Adaptive Algorithm for Online Control of the False Discovery Rate. | Aaditya Ramdas, Tijana Zrnic, Martin J. Wainwright, Michael I. Jordan |
| 2017 | ICLR | Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy. | Danica J. Sutherland, Hsiao-Yu Tung, Heiko Strathmann, Soumyajit De, Aaditya Ramdas, Alexander J. Smola, Arthur Gretton |
| 2017 | ISIT | Decoding from pooled data: Phase transitions of message passing. | Ahmed El Alaoui, Aaditya Ramdas, Florent Krzakala, Lenka Zdeborov, Michael I. Jordan |
| 2016 | ISIT | Minimax lower bounds for linear independence testing. | Aaditya Ramdas, David Isenberg, Aarti Singh, Larry A. Wasserman |
| 2016 | UAI | Sequential Nonparametric Testing with the Law of the Iterated Logarithm. | Akshay Balsubramani, Aaditya Ramdas |
| 2015 | AAAI | On the Decreasing Power of Kernel and Distance Based Nonparametric Hypothesis Tests in High Dimensions. | Aaditya Ramdas, Sashank Jakkam Reddi, Barnabs Pczos, Aarti Singh, Larry A. Wasserman |
| 2015 | AISTATS | On the High Dimensional Power of a Linear-Time Two Sample Test under Mean-shift Alternatives. | Sashank J. Reddi, Aaditya Ramdas, Barnabs Pczos, Aarti Singh, Larry A. Wasserman |
| 2015 | IJCAI | Advances in Nonparametric Hypothesis Testing. | Aaditya Ramdas |
| 2015 | IJCAI | Nonparametric Independence Testing for Small Sample Sizes. | Aaditya Ramdas, Leila Wehbe |
| 2014 | AISTATS | An Analysis of Active Learning with Uniform Feature Noise. | Aaditya Ramdas, Barnabs Pczos, Aarti Singh, Larry A. Wasserman |
| 2014 | ICML | Margins, Kernels and Non-linear Smoothed Perceptrons. | Aaditya Ramdas, Javier Pea |
| 2013 | ALT | Algorithmic Connections between Active Learning and Stochastic Convex Optimization. | Aaditya Ramdas, Aarti Singh |
| 2013 | ICML | Optimal rates for stochastic convex optimization under Tsybakov noise condition. | Aaditya Ramdas, Aarti Singh |