Aaditya Ramdas

IEEE Trans. Inf. Theory, February, 2024

Conformal online model aggregation.

[BibT_eX]

[DOI]

Matteo Gasparin

CoRR, 2024

Combining Evidence Across Filtrations.

[BibT_eX]

[DOI]

Yo Joong Choe

CoRR, 2024

2023

Martingale Methods for Sequential Estimation of Convex Functionals and Divergences.

[BibT_eX]

[DOI]

Tudor Manole

IEEE Trans. Inf. Theory, July, 2023

Semiparametric Efficient Inference in Adaptive Experiments.

[BibT_eX]

[DOI]

Thomas Cook

Alan Mishler

CoRR, 2023

Time-Uniform Confidence Spheres for Means of Random Vectors.

[BibT_eX]

[DOI]

Ben Chugg

CoRR, 2023

Deep anytime-valid hypothesis testing.

[BibT_eX]

[DOI]

CoRR, 2023

Anytime-valid t-tests and confidence sequences for Gaussian means with unknown variance.

[BibT_eX]

[DOI]

CoRR, 2023

On the near-optimality of betting confidence sets for bounded means.

[BibT_eX]

[DOI]

CoRR, 2023

Reducing sequential change detection to sequential estimation.

[BibT_eX]

[DOI]

CoRR, 2023

Improved Self-Normalized Concentration in Hilbert Spaces: Sublinear Regret for GP-UCB.

[BibT_eX]

[DOI]

Justin Whitehouse

Shiva Prasad Kasiviswanathan

CoRR, 2023

Differentially Private Conditional Independence Testing.

[BibT_eX]

[DOI]

Iden Kalemaj

CoRR, 2023

When do exact and powerful p-values and e-values exist?

[BibT_eX]

[DOI]

Zhenyuan Zhang

Ruodu Wang

CoRR, 2023

Randomized and Exchangeable Improvements of Markov's, Chebyshev's and Chernoff's Inequalities.

[BibT_eX]

[DOI]

Tudor Manole

CoRR, 2023

A unified recipe for deriving (time-uniform) PAC-Bayes bounds.

[BibT_eX]

[DOI]

Ben Chugg

CoRR, 2023

Sequential change detection via backward confidence sequences.

[BibT_eX]

[DOI]

CoRR, 2023

Anytime-Valid Confidence Sequences in an Enterprise A/B Testing Platform.

[BibT_eX]

[DOI]

Viswanathan Swaminathan

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Risk-limiting financial audits via weighted sampling without replacement.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2023

On the Sublinear Regret of GP-UCB.

[BibT_eX]

[DOI]

Justin Whitehouse

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Adaptive Privacy Composition for Accuracy-first Mechanisms.

[BibT_eX]

[DOI]

Ryan M. Rogers

Gennady Samorodnitsky

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Sequential Predictive Two-Sample and Independence Testing.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

An Efficient Doubly-Robust Test for the Kernel Treatment Effect.

[BibT_eX]

[DOI]

Diego Martinez-Taboada

Edward Kennedy

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Auditing Fairness by Betting.

[BibT_eX]

[DOI]

Ben Chugg

Santiago Cortes-Gomez

Bryan Wilder

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Counterfactually Comparing Abstaining Classifiers.

[BibT_eX]

[DOI]

Yo Joong Choe

Aditya Gangrade

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Fully-Adaptive Composition in Differential Privacy.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Nonparametric Extensions of Randomized Response for Private Confidence Sets.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Sequential Changepoint Detection via Backward Confidence Sequences.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Sequential Kernelized Independence Testing.

[BibT_eX]

[DOI]

Shiva Prasad Kasiviswanathan

Patrick Blöbaum

Proceedings of the International Conference on Machine Learning, 2023

Online Platt Scaling with Calibeating.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Huber-robust confidence sequences.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Nested conformal prediction and quantile out-of-bag ensemble methods.

[BibT_eX]

[DOI]

Arun K. Kuchibhotla

Pattern Recognit., 2022

Testing exchangeability: Fork-convexity, supermartingales and e-processes.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2022

A Permutation-Free Kernel Independence Test.

[BibT_eX]

[DOI]

Ilmun Kim

CoRR, 2022

Anytime-valid off-policy inference for contextual bandits.

[BibT_eX]

[DOI]

CoRR, 2022

Game-theoretic statistics and safe anytime-valid inference.

[BibT_eX]

[DOI]

CoRR, 2022

A composite generalization of Ville's martingale theorem.

[BibT_eX]

[DOI]

CoRR, 2022

Locally private nonparametric confidence intervals and sequences.

[BibT_eX]

[DOI]

CoRR, 2022

Brownian Noise Reduction: Maximizing Privacy Subject to Accuracy Constraints.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A permutation-free kernel two-sample test.

[BibT_eX]

[DOI]

Ilmun Kim

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Tracking the risk of a deployed model and detecting harmful distribution shifts.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Top-label calibration and multiclass-to-binary reductions.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Faster online calibration without randomization: interval forecasts and the power of two choices.

[BibT_eX]

[DOI]

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

Interactive rank testing by betting.

[BibT_eX]

[DOI]

Boyan Duan

Proceedings of the 1st Conference on Causal Learning and Reasoning, 2022

2021

On the Bias, Risk, and Consistency of Sample Means in Multi-armed Bandits.

[BibT_eX]

[DOI]

SIAM J. Math. Data Sci., 2021

Nonparametric Iterated-Logarithm Extensions of the Sequential Generalized Likelihood Ratio Test.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Inf. Theory, 2021

Asynchronous Online Testing of Multiple Hypotheses.

[BibT_eX]

[DOI]

Tijana Zrnic

Michael I. Jordan

J. Mach. Learn. Res., 2021

Path Length Bounds for Gradient Descent and Flow.

[BibT_eX]

[DOI]

Sivaraman Balakrishnan

J. Mach. Learn. Res., 2021

Game-theoretic Formulations of Sequential Nonparametric One- and Two-Sample Tests.

[BibT_eX]

[DOI]

CoRR, 2021

Universal Inference Meets Random Projections: A Scalable Test for Log-concavity.

[BibT_eX]

[DOI]

Robin Dunn

CoRR, 2021

Comparing Sequential Forecasters.

[BibT_eX]

[DOI]

Yo Joong Choe

CoRR, 2021

Top-label calibration.

[BibT_eX]

[DOI]

Aaditya K. Ramdas

CoRR, 2021

Sequential Estimation of Convex Divergences using Reverse Submartingales and Exchangeable Filtrations.

[BibT_eX]

[DOI]

Tudor Manole

CoRR, 2021

How can one test if a binary sequence is exchangeable? Fork-convex hulls, supermartingales, and Snell envelopes.

[BibT_eX]

[DOI]

CoRR, 2021

Distribution-free uncertainty quantification for classification under label shift.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

A unified framework for bandit multiple testing.

[BibT_eX]

[DOI]

Ziyu Xu

Ruodu Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Dynamic Algorithms for Online Multiple Testing.

[BibT_eX]

[DOI]

Ziyu Xu

Proceedings of the Mathematical and Scientific Machine Learning, 2021

Off-Policy Confidence Sequences.

[BibT_eX]

[DOI]

Nikos Karampatziakis

Paul Mineiro

Proceedings of the 38th International Conference on Machine Learning, 2021

Distribution-Free Calibration Guarantees for Histogram Binning without Sample Splitting.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

RiLACS: Risk Limiting Audits via Confidence Sequences.

[BibT_eX]

[DOI]

Philip B. Stark

Proceedings of the Electronic Voting - 6th International Joint Conference, 2021

Uncertainty quantification using martingales for misspecified Gaussian processes.

[BibT_eX]

[DOI]

Willie Neiswanger

Proceedings of the Algorithmic Learning Theory, 2021

Best Arm Identification under Additive Transfer Bandits.

[BibT_eX]

[DOI]

Ojash Neopane

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

Confidence sequences for sampling without replacement.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Distribution-free binary classification: prediction sets, confidence intervals and calibration.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Online Control of the False Coverage Rate and False Sign Rate.

[BibT_eX]

[DOI]

Asaf Weinstein

Proceedings of the 37th International Conference on Machine Learning, 2020

On Conditional Versus Marginal Bias in Multi-Armed Bandits.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Familywise Error Rate Control by Interactive Unmasking.

[BibT_eX]

[DOI]

Boyan Duan

Proceedings of the 37th International Conference on Machine Learning, 2020

Analyzing Student Strategies In Blended Courses Using Clickstream Data.

[BibT_eX]

[DOI]

Nil-Jana Akpinar

Umut A. Acar

Proceedings of the 13th International Conference on Educational Data Mining, 2020

The Power of Batching in Multiple Hypothesis Testing.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Decoding From Pooled Data: Phase Transitions of Message Passing.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2019

Decoding from Pooled Data: Sharp Information-Theoretic Bounds.

[BibT_eX]

[DOI]

SIAM J. Math. Data Sci., 2019

Conformal Prediction Under Covariate Shift.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

ADDIS: an adaptive discarding algorithm for online FDR control with conservative nulls.

[BibT_eX]

[DOI]

Jinjin Tian

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Are sample means in multi-armed bandits positively or negatively biased?

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Foundations of Large-Scale Sequential Experimentation.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

A Higher-Order Kolmogorov-Smirnov Test.

[BibT_eX]

[DOI]

Veeranjaneyulu Sadhanala

Yu-Xiang Wang

Ryan J. Tibshirani

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Iterative Methods for Solving Factorized Linear Systems.

[BibT_eX]

[DOI]

Anna Ma

Deanna Needell

SIAM J. Matrix Anal. Appl., 2018

SAFFRON: an Adaptive Algorithm for Online Control of the False Discovery Rate.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Rows versus Columns: Randomized Kaczmarz or Gauss-Seidel for Ridge Regression.

[BibT_eX]

[DOI]

Ahmed Hefny

Deanna Needell

SIAM J. Sci. Comput., 2017

On Wasserstein Two-Sample Testing and Related Families of Nonparametric Tests.

[BibT_eX]

[DOI]

Nicolás García Trillos

Marco Cuturi

Entropy, 2017

DAGGER: A sequential algorithm for FDR control on DAGs.

[BibT_eX]

[DOI]

CoRR, 2017

A framework for Multi-A(rmed)/B(andit) Testing with Online FDR Control.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Online control of the false discovery rate with decaying memory.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

QuTE: Decentralized multiple testing on sensor networks with false discovery rate control.

[BibT_eX]

[DOI]

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016

Towards a deeper geometric, analytic and algorithmic understanding of margins.

[BibT_eX]

[DOI]

Javier Peña

Optim. Methods Softw., 2016

Classification Accuracy as a Proxy for Two Sample Testing.

[BibT_eX]

[DOI]

CoRR, 2016

Function-Specific Mixing Times and Concentration Away from Equilibrium.

[BibT_eX]

[DOI]

CoRR, 2016

Universality of Mallows' and degeneracy of Kendall's kernels for rankings.

[BibT_eX]

[DOI]

CoRR, 2016

Asymptotic behavior of ℓ<sub>p</sub>-based Laplacian regularization in semi-supervised learning.

[BibT_eX]

[DOI]

CoRR, 2016

Sequential Nonparametric Testing with the Law of the Iterated Logarithm.

[BibT_eX]

[DOI]

Akshay Balsubramani

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Minimax lower bounds for linear independence testing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2016

2015

Computational and Statistical Advances in Testing and Learning.

[BibT_eX]

[DOI]

PhD thesis, 2015

Convergence Properties of the Randomized Extended Gauss-Seidel and Kaczmarz Methods.

[BibT_eX]

[DOI]

Anna Ma

Deanna Needell

SIAM J. Matrix Anal. Appl., 2015

Adaptivity and Computation-Statistics Tradeoffs for Kernel and Distance based High Dimensional Two Sample Testing.

[BibT_eX]

[DOI]

CoRR, 2015

Fast Two-Sample Testing with Analytic Representations of Probability Measures.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Nonparametric Independence Testing for Small Sample Sizes.

[BibT_eX]

[DOI]

Leila Wehbe

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Advances in Nonparametric Hypothesis Testing.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

On the High Dimensional Power of a Linear-Time Two Sample Test under Mean-shift Alternatives.

[BibT_eX]

[DOI]

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

On the Decreasing Power of Kernel and Distance Based Nonparametric Hypothesis Tests in High Dimensions.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Kernel MMD, the Median Heuristic and Distance Correlation in High Dimensions.

[BibT_eX]

[DOI]

CoRR, 2014

Fast and Flexible ADMM Algorithms for Trend Filtering.

[BibT_eX]

[DOI]

Ryan J. Tibshirani

CoRR, 2014

On the High-dimensional Power of Linear-time Kernel Two-Sample Testing under Mean-difference Alternatives.

[BibT_eX]

[DOI]

CoRR, 2014

Rows vs Columns for Linear Systems of Equations - Randomized Kaczmarz or Coordinate Descent?

[BibT_eX]

[DOI]

CoRR, 2014

Margins, Kernels and Non-linear Smoothed Perceptrons.

[BibT_eX]

[DOI]

Javier Peña

Proceedings of the 31th International Conference on Machine Learning, 2014

An Analysis of Active Learning with Uniform Feature Noise.

[BibT_eX]

[DOI]

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013

Optimal rates for stochastic convex optimization under Tsybakov noise condition.

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Machine Learning, 2013

Exploring the intersection of active learning and stochastic convex optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Algorithmic Connections between Active Learning and Stochastic Convex Optimization.

[BibT_eX]

[DOI]

Proceedings of the Algorithmic Learning Theory - 24th International Conference, 2013

2012

Optimal Stochastic Convex Optimization Through The Lens Of Active Learning

[BibT_eX]

[DOI]