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ORCIDAaditya Ramdas
Aaditya K. Ramdas
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2020 – today
- 2025
[i84]Ojash Neopane, Aaditya Ramdas, Aarti Singh:
Optimistic Algorithms for Adaptive Estimation of the Average Treatment Effect. CoRR abs/2502.04673 (2025)- [i83]Aytijhya Saha, Aaditya Ramdas:
Post-detection inference for sequential changepoint localization. CoRR abs/2502.06096 (2025) - [i82]Matteo Gasparin, Aaditya Ramdas:
Improving the statistical efficiency of cross-conformal prediction. CoRR abs/2503.01495 (2025) - [i81]Yusuf Sale, Aaditya Ramdas:
Online Selective Conformal Prediction: Errors and Solutions. CoRR abs/2503.16809 (2025) - 2024
- [j18]Yo Joong Choe
, Aaditya Ramdas:
Comparing Sequential Forecasters. Oper. Res. 72(4): 1368-1387 (2024) - [j17]Shubhanshu Shekhar, Aaditya Ramdas:
Nonparametric Two-Sample Testing by Betting. IEEE Trans. Inf. Theory 70(2): 1178-1203 (2024) - [c67]Teodora Pandeva, Patrick Forré, Aaditya Ramdas, Shubhanshu Shekhar:
Deep anytime-valid hypothesis testing. AISTATS 2024: 622-630 - [c66]James Leiner, Aaditya Ramdas:
Graph fission and cross-validation. AISTATS 2024: 2638-2646 - [c65]Iden Kalemaj, Shiva Prasad Kasiviswanathan, Aaditya Ramdas:
Differentially Private Conditional Independence Testing. AISTATS 2024: 3700-3708 - [c64]Ziyu Xu, Aaditya Ramdas:
Online multiple testing with e-values. AISTATS 2024: 3997-4005 - [c63]Aytijhya Saha, Aaditya Ramdas:
Testing exchangeability by pairwise betting. AISTATS 2024: 4915-4923 - [c62]Thomas Cook, Alan Mishler, Aaditya Ramdas:
Semiparametric Efficient Inference in Adaptive Experiments. CLeaR 2024: 1033-1064 - [c61]Shubhanshu Shekhar, Aaditya Ramdas:
Reducing sequential change detection to sequential estimation. ICML 2024 - [c60]Wenshuo Wang, Lucas Janson, Lihua Lei, Aaditya Ramdas:
Total Variation Floodgate for Variable Importance Inference in Classification. ICML 2024 - [c59]Yiling Chen, Tao Lin, Ariel D. Procaccia, Aaditya Ramdas, Itai Shapira:
Bias Detection via Signaling. NeurIPS 2024 - [i80]Yo Joong Choe, Aaditya Ramdas:
Combining Evidence Across Filtrations. CoRR abs/2402.09698 (2024) - [i79]Matteo Gasparin, Aaditya Ramdas:
Conformal online model aggregation. CoRR abs/2403.15527 (2024) - [i78]Yiling Chen, Tao Lin, Ariel D. Procaccia, Aaditya Ramdas, Itai Shapira:
Bias Detection Via Signaling. CoRR abs/2405.17694 (2024) - [i77]Diego Martinez-Taboada, Aaditya Ramdas:
Sequential Kernelized Stein Discrepancy. CoRR abs/2409.17505 (2024) - [i76]Putra Manggala, Atalanti-Anastasia Mastakouri, Elke Kirschbaum, Shiva Prasad Kasiviswanathan, Aaditya Ramdas:
β-calibration of Language Model Confidence Scores for Generative QA. CoRR abs/2410.06615 (2024) - [i75]Michelle Zhao, Reid G. Simmons, Henny Admoni, Aaditya Ramdas, Andrea Bajcsy:
Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedback. CoRR abs/2410.08852 (2024) - [i74]Ojash Neopane, Aaditya Ramdas, Aarti Singh:
Logarithmic Neyman Regret for Adaptive Estimation of the Average Treatment Effect. CoRR abs/2411.14341 (2024) - 2023
- [j16]Shubhanshu Shekhar, Ilmun Kim, Aaditya Ramdas:
A Permutation-Free Kernel Independence Test. J. Mach. Learn. Res. 24: 369:1-369:68 (2023) - [j15]Ben Chugg, Hongjian Wang, Aaditya Ramdas:
A Unified Recipe for Deriving (Time-Uniform) PAC-Bayes Bounds. J. Mach. Learn. Res. 24: 372:1-372:61 (2023) - [j14]Tudor Manole, Aaditya Ramdas:
Martingale Methods for Sequential Estimation of Convex Functionals and Divergences. IEEE Trans. Inf. Theory 69(7): 4641-4658 (2023) - [c58]Hongjian Wang, Aaditya Ramdas:
Huber-robust confidence sequences. AISTATS 2023: 9662-9679 - [c57]Chirag Gupta, Aaditya Ramdas:
Online Platt Scaling with Calibeating. ICML 2023: 12182-12204 - [c56]Aleksandr Podkopaev, Patrick Blöbaum, Shiva Prasad Kasiviswanathan, Aaditya Ramdas:
Sequential Kernelized Independence Testing. ICML 2023: 27957-27993 - [c55]Shubhanshu Shekhar, Aaditya Ramdas:
Sequential Changepoint Detection via Backward Confidence Sequences. ICML 2023: 30908-30930 - [c54]Ian Waudby-Smith, Zhiwei Steven Wu, Aaditya Ramdas:
Nonparametric Extensions of Randomized Response for Private Confidence Sets. ICML 2023: 36748-36789 - [c53]Justin Whitehouse, Aaditya Ramdas, Ryan Rogers, Steven Wu:
Fully-Adaptive Composition in Differential Privacy. ICML 2023: 36990-37007 - [c52]Yo Joong Choe, Aditya Gangrade, Aaditya Ramdas:
Counterfactually Comparing Abstaining Classifiers. NeurIPS 2023 - [c51]Ben Chugg, Santiago Cortes-Gomez, Bryan Wilder, Aaditya Ramdas:
Auditing Fairness by Betting. NeurIPS 2023 - [c50]Diego Martinez-Taboada, Aaditya Ramdas, Edward Kennedy:
An Efficient Doubly-Robust Test for the Kernel Treatment Effect. NeurIPS 2023 - [c49]Aleksandr Podkopaev, Aaditya Ramdas:
Sequential Predictive Two-Sample and Independence Testing. NeurIPS 2023 - [c48]Ryan M. Rogers, Gennady Samorodnitsky, Zhiwei Steven Wu, Aaditya Ramdas:
Adaptive Privacy Composition for Accuracy-first Mechanisms. NeurIPS 2023 - [c47]Justin Whitehouse, Aaditya Ramdas, Zhiwei Steven Wu:
On the Sublinear Regret of GP-UCB. NeurIPS 2023 - [c46]Shubhanshu Shekhar, Ziyu Xu, Zachary C. Lipton, Pierre J. Liang, Aaditya Ramdas:
Risk-limiting financial audits via weighted sampling without replacement. UAI 2023: 1932-1941 - [c45]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: 396-400 - [i73]Hongjian Wang, Aaditya Ramdas:
Huber-Robust Confidence Sequences. CoRR abs/2301.09573 (2023) - [i72]Shubhanshu Shekhar, Aaditya Ramdas:
Sequential change detection via backward confidence sequences. CoRR abs/2302.02544 (2023) - [i71]Ben Chugg, Hongjian Wang, Aaditya Ramdas:
A unified recipe for deriving (time-uniform) PAC-Bayes bounds. CoRR abs/2302.03421 (2023) - [i70]Aaditya Ramdas, Tudor Manole:
Randomized and Exchangeable Improvements of Markov's, Chebyshev's and Chernoff's Inequalities. CoRR abs/2304.02611 (2023) - [i69]Chirag Gupta, Aaditya Ramdas:
Online Platt Scaling with Calibeating. CoRR abs/2305.00070 (2023) - [i68]Aleksandr Podkopaev, Aaditya Ramdas:
Sequential Predictive Two-Sample and Independence Testing. CoRR abs/2305.00143 (2023) - [i67]Shubhanshu Shekhar, Ziyu Xu, Zachary C. Lipton, Pierre J. Liang, Aaditya Ramdas:
Risk-limiting Financial Audits via Weighted Sampling without Replacement. CoRR abs/2305.06884 (2023) - [i66]Yo Joong Choe, Aditya Gangrade, Aaditya Ramdas:
Counterfactually Comparing Abstaining Classifiers. CoRR abs/2305.10564 (2023) - [i65]Zhenyuan Zhang, Aaditya Ramdas, Ruodu Wang:
When do exact and powerful p-values and e-values exist? CoRR abs/2305.16539 (2023) - [i64]Ben Chugg, Santiago Cortes-Gomez, Bryan Wilder, Aaditya Ramdas:
Auditing Fairness by Betting. CoRR abs/2305.17570 (2023) - [i63]Iden Kalemaj, Shiva Prasad Kasiviswanathan, Aaditya Ramdas:
Differentially Private Conditional Independence Testing. CoRR abs/2306.06721 (2023) - [i62]Ryan Rogers, Gennady Samorodnitsky, Zhiwei Steven Wu, Aaditya Ramdas:
Adaptive Privacy Composition for Accuracy-first Mechanisms. CoRR abs/2306.13824 (2023) - [i61]Justin Whitehouse, Zhiwei Steven Wu, Aaditya Ramdas:
Improved Self-Normalized Concentration in Hilbert Spaces: Sublinear Regret for GP-UCB. CoRR abs/2307.07539 (2023) - [i60]Shubhanshu Shekhar, Aaditya Ramdas:
Reducing sequential change detection to sequential estimation. CoRR abs/2309.09111 (2023) - [i59]Shubhanshu Shekhar, Aaditya Ramdas:
On the near-optimality of betting confidence sets for bounded means. CoRR abs/2310.01547 (2023) - [i58]Hongjian Wang, Aaditya Ramdas:
Anytime-valid t-tests and confidence sequences for Gaussian means with unknown variance. CoRR abs/2310.03722 (2023) - [i57]Teodora Pandeva, Patrick Forré, Aaditya Ramdas, Shubhanshu Shekhar:
Deep anytime-valid hypothesis testing. CoRR abs/2310.19384 (2023) - [i56]Ben Chugg, Hongjian Wang, Aaditya Ramdas:
Time-Uniform Confidence Spheres for Means of Random Vectors. CoRR abs/2311.08168 (2023) - [i55]Thomas Cook, Alan Mishler, Aaditya Ramdas:
Semiparametric Efficient Inference in Adaptive Experiments. CoRR abs/2311.18274 (2023) - 2022
- [j13]Aaditya Ramdas, Johannes Ruf, Martin Larsson, Wouter M. Koolen:
Testing exchangeability: Fork-convexity, supermartingales and e-processes. Int. J. Approx. Reason. 141: 83-109 (2022) - [j12]Chirag Gupta, Arun K. Kuchibhotla, Aaditya Ramdas:
Nested conformal prediction and quantile out-of-bag ensemble methods. Pattern Recognit. 127: 108496 (2022) - [c44]Boyan Duan, Aaditya Ramdas, Larry A. Wasserman:
Interactive rank testing by betting. CLeaR 2022: 201-235 - [c43]Chirag Gupta, Aaditya Ramdas:
Faster online calibration without randomization: interval forecasts and the power of two choices. COLT 2022: 4283-4309 - [c42]Chirag Gupta, Aaditya Ramdas:
Top-label calibration and multiclass-to-binary reductions. ICLR 2022 - [c41]Aleksandr Podkopaev, Aaditya Ramdas:
Tracking the risk of a deployed model and detecting harmful distribution shifts. ICLR 2022 - [c40]Shubhanshu Shekhar, Ilmun Kim, Aaditya Ramdas:
A permutation-free kernel two-sample test. NeurIPS 2022 - [c39]Justin Whitehouse, Aaditya Ramdas, Zhiwei Steven Wu, Ryan M. Rogers:
Brownian Noise Reduction: Maximizing Privacy Subject to Accuracy Constraints. NeurIPS 2022 - [i54]Ian Waudby-Smith, Zhiwei Steven Wu, Aaditya Ramdas:
Locally private nonparametric confidence intervals and sequences. CoRR abs/2202.08728 (2022) - [i53]Johannes Ruf, Martin Larsson, Wouter M. Koolen, Aaditya Ramdas:
A composite generalization of Ville's martingale theorem. CoRR abs/2203.04485 (2022) - [i52]Justin Whitehouse, Aaditya Ramdas, Ryan Rogers, Zhiwei Steven Wu:
Fully Adaptive Composition in Differential Privacy. CoRR abs/2203.05481 (2022) - [i51]Chirag Gupta, Aaditya Ramdas:
Faster online calibration without randomization: interval forecasts and the power of two choices. CoRR abs/2204.13087 (2022) - [i50]Justin Whitehouse, Zhiwei Steven Wu, Aaditya Ramdas, Ryan Rogers:
Brownian Noise Reduction: Maximizing Privacy Subject to Accuracy Constraints. CoRR abs/2206.07234 (2022) - [i49]Aaditya Ramdas, Peter Grünwald, Vladimir Vovk, Glenn Shafer:
Game-theoretic statistics and safe anytime-valid inference. CoRR abs/2210.01948 (2022) - [i48]Aaditya Ramdas, Jianbo Chen, Martin J. Wainwright, Michael I. Jordan:
QuTE: decentralized multiple testing on sensor networks with false discovery rate control. CoRR abs/2210.04334 (2022) - [i47]Ian Waudby-Smith, Lili Wu, Aaditya Ramdas, Nikos Karampatziakis, Paul Mineiro:
Anytime-valid off-policy inference for contextual bandits. CoRR abs/2210.10768 (2022) - [i46]Shubhanshu Shekhar, Ilmun Kim, Aaditya Ramdas:
A Permutation-free Kernel Two-Sample Test. CoRR abs/2211.14908 (2022) - [i45]Aleksandr Podkopaev, Patrick Blöbaum, Shiva Prasad Kasiviswanathan, Aaditya Ramdas:
Sequential Kernelized Independence Testing. CoRR abs/2212.07383 (2022) - [i44]Shubhanshu Shekhar, Ilmun Kim, Aaditya Ramdas:
A Permutation-Free Kernel Independence Test. CoRR abs/2212.09108 (2022) - 2021
- [j11]Tijana Zrnic, Aaditya Ramdas, Michael I. Jordan:
Asynchronous Online Testing of Multiple Hypotheses. J. Mach. Learn. Res. 22: 33:1-33:39 (2021) - [j10]Chirag Gupta, Sivaraman Balakrishnan, Aaditya Ramdas:
Path Length Bounds for Gradient Descent and Flow. J. Mach. Learn. Res. 22: 68:1-68:63 (2021) - [j9]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): 691-704 (2021) - [j8]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): 1278-1300 (2021) - [c38]Ojash Neopane, Aaditya Ramdas, Aarti Singh:
Best Arm Identification under Additive Transfer Bandits. ACSCC 2021: 464-470 - [c37]Willie Neiswanger, Aaditya Ramdas:
Uncertainty quantification using martingales for misspecified Gaussian processes. ALT 2021: 963-982 - [c36]Ian Waudby-Smith, Philip B. Stark, Aaditya Ramdas:
RiLACS: Risk Limiting Audits via Confidence Sequences. E-VOTE-ID 2021: 124-139 - [c35]Chirag Gupta, Aaditya Ramdas:
Distribution-Free Calibration Guarantees for Histogram Binning without Sample Splitting. ICML 2021: 3942-3952 - [c34]Nikos Karampatziakis, Paul Mineiro, Aaditya Ramdas:
Off-Policy Confidence Sequences. ICML 2021: 5301-5310 - [c33]Ziyu Xu, Aaditya Ramdas:
Dynamic Algorithms for Online Multiple Testing. MSML 2021: 955-986 - [c32]Ziyu Xu, Ruodu Wang, Aaditya Ramdas:
A unified framework for bandit multiple testing. NeurIPS 2021: 16833-16845 - [c31]Aleksandr Podkopaev, Aaditya Ramdas:
Distribution-free uncertainty quantification for classification under label shift. UAI 2021: 844-853 - [i43]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 abs/2102.00630 (2021) - [i42]Nikos Karampatziakis, Paul Mineiro, Aaditya Ramdas:
Off-policy Confidence Sequences. CoRR abs/2102.09540 (2021) - [i41]Aleksandr Podkopaev, Aaditya Ramdas:
Distribution-free uncertainty quantification for classification under label shift. CoRR abs/2103.03323 (2021) - [i40]Tudor Manole, Aaditya Ramdas:
Sequential Estimation of Convex Divergences using Reverse Submartingales and Exchangeable Filtrations. CoRR abs/2103.09267 (2021) - [i39]Chirag Gupta, Aaditya K. Ramdas:
Distribution-free calibration guarantees for histogram binning without sample splitting. CoRR abs/2105.04656 (2021) - [i38]Ziyu Xu, Ruodu Wang, Aaditya Ramdas:
A unified framework for bandit multiple testing. CoRR abs/2107.07322 (2021) - [i37]Chirag Gupta, Aaditya K. Ramdas:
Top-label calibration. CoRR abs/2107.08353 (2021) - [i36]Yo Joong Choe, Aaditya Ramdas:
Comparing Sequential Forecasters. CoRR abs/2110.00115 (2021) - [i35]Aleksandr Podkopaev, Aaditya Ramdas:
Tracking the risk of a deployed model and detecting harmful distribution shifts. CoRR abs/2110.06177 (2021) - [i34]Robin Dunn, Larry A. Wasserman, Aaditya Ramdas:
Universal Inference Meets Random Projections: A Scalable Test for Log-concavity. CoRR abs/2111.09254 (2021) - [i33]Ojash Neopane, Aaditya Ramdas, Aarti Singh:
Best Arm Identification under Additive Transfer Bandits. CoRR abs/2112.04083 (2021) - [i32]Shubhanshu Shekhar, Aaditya Ramdas:
Game-theoretic Formulations of Sequential Nonparametric One- and Two-Sample Tests. CoRR abs/2112.09162 (2021) - 2020
- [c30]Tijana Zrnic, Daniel L. Jiang, Aaditya Ramdas, Michael I. Jordan:
The Power of Batching in Multiple Hypothesis Testing. AISTATS 2020: 3806-3815 - [c29]Nil-Jana Akpinar, Aaditya Ramdas, Umut A. Acar:
Analyzing Student Strategies In Blended Courses Using Clickstream Data. EDM 2020 - [c28]Boyan Duan, Aaditya Ramdas, Larry A. Wasserman:
Familywise Error Rate Control by Interactive Unmasking. ICML 2020: 2720-2729 - [c27]Jaehyeok Shin, Aaditya Ramdas, Alessandro Rinaldo:
On Conditional Versus Marginal Bias in Multi-Armed Bandits. ICML 2020: 8852-8861 - [c26]Asaf Weinstein, Aaditya Ramdas:
Online Control of the False Coverage Rate and False Sign Rate. ICML 2020: 10193-10202 - [c25]Chirag Gupta, Aleksandr Podkopaev, Aaditya Ramdas:
Distribution-free binary classification: prediction sets, confidence intervals and calibration. NeurIPS 2020 - [c24]Ian Waudby-Smith, Aaditya Ramdas:
Confidence sequences for sampling without replacement. NeurIPS 2020 - [i31]Nil-Jana Akpinar, Aaditya Ramdas, Umut A. Acar:
Analyzing Student Strategies In Blended Courses Using Clickstream Data. CoRR abs/2006.00421 (2020) - [i30]Willie Neiswanger, Aaditya Ramdas:
Uncertainty quantification using martingales for misspecified Gaussian processes. CoRR abs/2006.07368 (2020) - [i29]Chirag Gupta, Aleksandr Podkopaev, Aaditya Ramdas:
Distribution-free binary classification: prediction sets, confidence intervals and calibration. CoRR abs/2006.10564 (2020)
2010 – 2019
- 2019
- [j7]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): 161-188 (2019) - [j6]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): 572-585 (2019) - [c23]Veeranjaneyulu Sadhanala, Yu-Xiang Wang, Aaditya Ramdas, Ryan J. Tibshirani:
A Higher-Order Kolmogorov-Smirnov Test. AISTATS 2019: 2621-2630 - [c22]Aaditya Ramdas:
Foundations of Large-Scale Sequential Experimentation. KDD 2019: 3211-3212 - [c21]Ryan J. Tibshirani, Rina Foygel Barber, Emmanuel J. Candès, Aaditya Ramdas:
Conformal Prediction Under Covariate Shift. NeurIPS 2019: 2526-2536 - [c20]Jaehyeok Shin, Aaditya Ramdas, Alessandro Rinaldo:
Are sample means in multi-armed bandits positively or negatively biased? NeurIPS 2019: 7100-7109 - [c19]Jinjin Tian, Aaditya Ramdas:
ADDIS: an adaptive discarding algorithm for online FDR control with conservative nulls. NeurIPS 2019: 9383-9391 - [i28]Jaehyeok Shin, Aaditya Ramdas, Alessandro Rinaldo:
On the bias, risk and consistency of sample means in multi-armed bandits. CoRR abs/1902.00746 (2019) - [i27]Veeranjaneyulu Sadhanala, Yu-Xiang Wang, Aaditya Ramdas, Ryan J. Tibshirani:
A Higher-Order Kolmogorov-Smirnov Test. CoRR abs/1903.10083 (2019) - [i26]Chirag Gupta, Sivaraman Balakrishnan, Aaditya Ramdas:
Path Length Bounds for Gradient Descent and Flow. CoRR abs/1908.01089 (2019) - [i25]Chirag Gupta, Arun K. Kuchibhotla, Aaditya K. Ramdas:
Nested conformal prediction and quantile out-of-bag ensemble methods. CoRR abs/1910.10562 (2019) - 2018
- [j5]Anna Ma, Deanna Needell, Aaditya Ramdas:
Iterative Methods for Solving Factorized Linear Systems. SIAM J. Matrix Anal. Appl. 39(1): 104-122 (2018) - [c18]Aaditya Ramdas, Tijana Zrnic, Martin J. Wainwright, Michael I. Jordan:
SAFFRON: an Adaptive Algorithm for Online Control of the False Discovery Rate. ICML 2018: 4283-4291 - [i24]Aaditya Ramdas, Tijana Zrnic, Martin J. Wainwright, Michael I. Jordan:
SAFFRON: an adaptive algorithm for online control of the false discovery rate. CoRR abs/1802.09098 (2018) - [i23]Tijana Zrnic, Aaditya Ramdas, Michael I. Jordan:
Asynchronous Online Testing of Multiple Hypotheses. CoRR abs/1812.05068 (2018) - 2017
- [j4]Aaditya Ramdas, Nicolás García Trillos, Marco Cuturi:
On Wasserstein Two-Sample Testing and Related Families of Nonparametric Tests. Entropy 19(2): 47 (2017) - [j3]Ahmed Hefny, Deanna Needell, Aaditya Ramdas:
Rows versus Columns: Randomized Kaczmarz or Gauss-Seidel for Ridge Regression. SIAM J. Sci. Comput. 39(5) (2017) - [c17]Aaditya Ramdas, Jianbo Chen, Martin J. Wainwright, Michael I. Jordan:
QuTE: Decentralized multiple testing on sensor networks with false discovery rate control. CDC 2017: 6415-6421 - [c16]Danica J. Sutherland, Hsiao-Yu Tung, Heiko Strathmann, Soumyajit De, Aaditya Ramdas, Alexander J. Smola, Arthur Gretton:
Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy. ICLR (Poster) 2017 - [c15]Ahmed El Alaoui, Aaditya Ramdas, Florent Krzakala, Lenka Zdeborová, Michael I. Jordan:
Decoding from pooled data: Phase transitions of message passing. ISIT 2017: 2780-2784 - [c14]Aaditya Ramdas, Fanny Yang, Martin J. Wainwright, Michael I. Jordan:
Online control of the false discovery rate with decaying memory. NIPS 2017: 5650-5659 - [c13]Fanny Yang, Aaditya Ramdas, Kevin G. Jamieson, Martin J. Wainwright:
A framework for Multi-A(rmed)/B(andit) Testing with Online FDR Control. NIPS 2017: 5957-5966 - [i22]Ahmed El Alaoui, Aaditya Ramdas, Florent Krzakala, Lenka Zdeborová, Michael I. Jordan:
Decoding from Pooled Data: Phase Transitions of Message Passing. CoRR abs/1702.02279 (2017) - [i21]Fanny Yang, Aaditya Ramdas, Kevin G. Jamieson, Martin J. Wainwright:
A framework for Multi-A(rmed)/B(andit) testing with online FDR control. CoRR abs/1706.05378 (2017) - [i20]Aaditya Ramdas, Jianbo Chen, Martin J. Wainwright, Michael I. Jordan:
DAGGER: A sequential algorithm for FDR control on DAGs. CoRR abs/1709.10250 (2017) - [i19]Aaditya Ramdas, Fanny Yang, Martin J. Wainwright, Michael I. Jordan:
Online control of the false discovery rate with decaying memory. CoRR abs/1710.00499 (2017) - 2016
- [j2]Aaditya Ramdas, Javier Peña:
Towards a deeper geometric, analytic and algorithmic understanding of margins. Optim. Methods Softw. 31(2): 377-391 (2016) - [c12]Aaditya Ramdas, David Isenberg, Aarti Singh, Larry A. Wasserman:
Minimax lower bounds for linear independence testing. ISIT 2016: 965-969 - [c11]Akshay Balsubramani, Aaditya Ramdas:
Sequential Nonparametric Testing with the Law of the Iterated Logarithm. UAI 2016 - [i18]Aaditya Ramdas, David Isenberg, Aarti Singh, Larry A. Wasserman:
Minimax Lower Bounds for Linear Independence Testing. CoRR abs/1601.06259 (2016) - [i17]Aaditya Ramdas, Aarti Singh, Larry A. Wasserman:
Classification Accuracy as a Proxy for Two Sample Testing. CoRR abs/1602.02210 (2016) - [i16]Ahmed El Alaoui, Xiang Cheng, Aaditya Ramdas, Martin J. Wainwright, Michael I. Jordan:
Asymptotic behavior of ℓp-based Laplacian regularization in semi-supervised learning. CoRR abs/1603.00564 (2016) - [i15]Horia Mania, Aaditya Ramdas, Martin J. Wainwright, Michael I. Jordan, Benjamin Recht:
Universality of Mallows' and degeneracy of Kendall's kernels for rankings. CoRR abs/1603.08035 (2016) - [i14]Maxim Rabinovich, Aaditya Ramdas, Michael I. Jordan, Martin J. Wainwright:
Function-Specific Mixing Times and Concentration Away from Equilibrium. CoRR abs/1605.02077 (2016) - [i13]Danica J. Sutherland, Hsiao-Yu Fish Tung, Heiko Strathmann, Soumyajit De, Aaditya Ramdas, Alexander J. Smola, Arthur Gretton:
Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy. CoRR abs/1611.04488 (2016) - [i12]Ahmed El Alaoui, Aaditya Ramdas, Florent Krzakala, Lenka Zdeborová, Michael I. Jordan:
Decoding from Pooled Data: Sharp Information-Theoretic Bounds. CoRR abs/1611.09981 (2016) - 2015
- [b1]Aaditya Ramdas:
Computational and Statistical Advances in Testing and Learning. Carnegie Mellon University, USA, 2015 - [j1]Anna Ma, Deanna Needell, Aaditya Ramdas:
Convergence Properties of the Randomized Extended Gauss-Seidel and Kaczmarz Methods. SIAM J. Matrix Anal. Appl. 36(4): 1590-1604 (2015) - [c10]Aaditya Ramdas, Sashank Jakkam Reddi, Barnabás Póczos, Aarti Singh, Larry A. Wasserman:
On the Decreasing Power of Kernel and Distance Based Nonparametric Hypothesis Tests in High Dimensions. AAAI 2015: 3571-3577 - [c9]Sashank J. Reddi, Aaditya Ramdas, Barnabás Póczos, Aarti Singh, Larry A. Wasserman:
On the High Dimensional Power of a Linear-Time Two Sample Test under Mean-shift Alternatives. AISTATS 2015 - [c8]Aaditya Ramdas, Leila Wehbe:
Nonparametric Independence Testing for Small Sample Sizes. IJCAI 2015: 3777-3783 - [c7]Aaditya Ramdas:
Advances in Nonparametric Hypothesis Testing. IJCAI 2015: 4387-4388 - [c6]Kacper Chwialkowski, Aaditya Ramdas, Dino Sejdinovic, Arthur Gretton:
Fast Two-Sample Testing with Analytic Representations of Probability Measures. NIPS 2015: 1981-1989 - [i11]Aaditya Ramdas, Javier Peña:
Margins, Kernels and Non-linear Smoothed Perceptrons. CoRR abs/1505.04123 (2015) - [i10]Aaditya Ramdas, Aarti Singh:
Algorithmic Connections Between Active Learning and Stochastic Convex Optimization. CoRR abs/1505.04214 (2015) - [i9]Aaditya Ramdas, Barnabás Póczos, Aarti Singh, Larry A. Wasserman:
An Analysis of Active Learning With Uniform Feature Noise. CoRR abs/1505.04215 (2015) - [i8]Aaditya Ramdas, Akshay Balsubramani:
Sequential Nonparametric Testing with the Law of the Iterated Logarithm. CoRR abs/1506.03486 (2015) - [i7]Aaditya Ramdas, Sashank J. Reddi, Barnabás Póczos, Aarti Singh, Larry A. Wasserman:
Adaptivity and Computation-Statistics Tradeoffs for Kernel and Distance based High Dimensional Two Sample Testing. CoRR abs/1508.00655 (2015) - 2014
- [c5]Aaditya Ramdas, Barnabás Póczos, Aarti Singh, Larry A. Wasserman:
An Analysis of Active Learning with Uniform Feature Noise. AISTATS 2014: 805-813 - [c4]Aaditya Ramdas, Javier Peña:
Margins, Kernels and Non-linear Smoothed Perceptrons. ICML 2014: 244-252 - [i6]Aaditya Ramdas, Ryan J. Tibshirani:
Fast and Flexible ADMM Algorithms for Trend Filtering. CoRR abs/1406.2082 (2014) - [i5]Sashank J. Reddi, Aaditya Ramdas, Barnabás Póczos, Aarti Singh, Larry A. Wasserman:
Kernel MMD, the Median Heuristic and Distance Correlation in High Dimensions. CoRR abs/1406.2083 (2014) - [i4]Aaditya Ramdas:
Rows vs Columns for Linear Systems of Equations - Randomized Kaczmarz or Coordinate Descent? CoRR abs/1406.5295 (2014) - [i3]Aaditya Ramdas, Javier Peña:
Towards A Deeper Geometric, Analytic and Algorithmic Understanding of Margins. CoRR abs/1406.5311 (2014) - [i2]Aaditya Ramdas, Sashank J. Reddi, Barnabás Póczos, Aarti Singh, Larry A. Wasserman:
On the High-dimensional Power of Linear-time Kernel Two-Sample Testing under Mean-difference Alternatives. CoRR abs/1411.6314 (2014) - 2013
- [c3]Aaditya Ramdas, Aarti Singh:
Algorithmic Connections between Active Learning and Stochastic Convex Optimization. ALT 2013: 339-353 - [c2]Aaditya Ramdas, Aarti Singh:
Exploring the intersection of active learning and stochastic convex optimization. GlobalSIP 2013: 1122 - [c1]Aaditya Ramdas, Aarti Singh:
Optimal rates for stochastic convex optimization under Tsybakov noise condition. ICML (1) 2013: 365-373 - 2012
- [i1]Aaditya Ramdas, Aarti Singh:
Optimal Stochastic Convex Optimization Through The Lens Of Active Learning. CoRR abs/1207.3012 (2012)
Coauthor Index
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