Shubhanshu Shekhar

48 papers A* 6A 5B 3Journal 32Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Classifier-Based Nonparametric Sequential Hypothesis Testing. CoRR Chia-Yu Hsu, Shubhanshu Shekhar
2026	J	`jnl`	Dual Representation of Minimum Divergence Under Integral Constraints. CoRR Shubhanshu Shekhar, Shubhada Agrawal
2026	J	`jnl`	Learning to Bet for Horizon-Aware Anytime-Valid Testing. CoRR Ege Onur Taga, Samet Oymak, Shubhanshu Shekhar
2026	J	`jnl`	Outage Identification from Electricity Market Data: Quickest Change Detection Approach. CoRR Milad Hoseinpour, Shubhanshu Shekhar, Vladimir Dvorkin
2026	J	`jnl`	Tighter Confidence Intervals under Without Replacement Sampling via Empirical Rate Functions. CoRR Shubhanshu Shekhar, Aaditya Ramdas
2026	J	`jnl`	VINA: Variational Invertible Neural Architectures. CoRR Shubhanshu Shekhar, Mohammad Javad Khojasteh, Ananya Acharya, Tony Tohme, Kamal Youcef-Toumi
2025	J	`jnl`	Active Nonparametric Two-Sample Testing by Betting on Heterogeneous Data Sources. CoRR Chia-Yu Hsu, Shubhanshu Shekhar
2025	J	`jnl`	Corrections to "Nonparametric Two-Sample Testing by Betting". IEEE Trans. Inf. Theory Shubhanshu Shekhar, Aaditya Ramdas
2025	J	`jnl`	Optimal Anytime-Valid Tests for Composite Nulls. CoRR Shubhanshu Shekhar
2024	A	`conf`	Deep anytime-valid hypothesis testing. AISTATS Teodora Pandeva, Patrick Forré, Aaditya Ramdas, Shubhanshu Shekhar
2024	J	`jnl`	Nonparametric Two-Sample Testing by Betting. IEEE Trans. Inf. Theory Shubhanshu Shekhar, Aaditya Ramdas
2024	A*	`conf`	Reducing sequential change detection to sequential estimation. ICML Shubhanshu Shekhar, Aaditya Ramdas
2023	J	`jnl`	A Permutation-Free Kernel Independence Test. J. Mach. Learn. Res. Shubhanshu Shekhar, Ilmun Kim, Aaditya Ramdas
2023	J	`jnl`	Deep anytime-valid hypothesis testing. CoRR Teodora Pandeva, Patrick Forré, Aaditya Ramdas, Shubhanshu Shekhar
2023	J	`jnl`	On the near-optimality of betting confidence sets for bounded means. CoRR Shubhanshu Shekhar, Aaditya Ramdas
2023	J	`jnl`	Reducing sequential change detection to sequential estimation. CoRR Shubhanshu Shekhar, Aaditya Ramdas
2023	J	`jnl`	Risk-limiting Financial Audits via Weighted Sampling without Replacement. CoRR Shubhanshu Shekhar, Ziyu Xu, Zachary C. Lipton, Pierre J. Liang, Aaditya Ramdas
2023	A	`conf`	Risk-limiting financial audits via weighted sampling without replacement. UAI Shubhanshu Shekhar, Ziyu Xu, Zachary C. Lipton, Pierre J. Liang, Aaditya Ramdas
2023	A*	`conf`	Sequential Changepoint Detection via Backward Confidence Sequences. ICML Shubhanshu Shekhar, Aaditya Ramdas
2023	J	`jnl`	Sequential change detection via backward confidence sequences. CoRR Shubhanshu Shekhar, Aaditya Ramdas
2022	J	`jnl`	A Permutation-Free Kernel Independence Test. CoRR Shubhanshu Shekhar, Ilmun Kim, Aaditya Ramdas
2022	J	`jnl`	A Permutation-free Kernel Two-Sample Test. CoRR Shubhanshu Shekhar, Ilmun Kim, Aaditya Ramdas
2022	A*	`conf`	A permutation-free kernel two-sample test. NeurIPS Shubhanshu Shekhar, Ilmun Kim, Aaditya Ramdas
2022	A*	`conf`	Instance Dependent Regret Analysis of Kernelized Bandits. ICML Shubhanshu Shekhar, Tara Javidi
2022	J	`jnl`	Instance-Dependent Regret Analysis of Kernelized Bandits. CoRR Shubhanshu Shekhar, Tara Javidi
2022	B	`conf`	Multi-Scale Zero-Order Optimization of Smooth Functions in an RKHS. ISIT Madison Lee, Shubhanshu Shekhar, Tara Javidi
2021	J	`jnl`	Active Learning for Classification With Abstention. IEEE J. Sel. Areas Inf. Theory Shubhanshu Shekhar, Mohammad Ghavamzadeh, Tara Javidi
2021	A*	`conf`	Adaptive Sampling for Minimax Fair Classification. NeurIPS Shubhanshu Shekhar, Greg Fields, Mohammad Ghavamzadeh, Tara Javidi
2021	J	`jnl`	Adaptive Sampling for Minimax Fair Classification. CoRR Shubhanshu Shekhar, Mohammad Ghavamzadeh, Tara Javidi
2021	J	`jnl`	Game-theoretic Formulations of Sequential Nonparametric One- and Two-Sample Tests. CoRR Shubhanshu Shekhar, Aaditya Ramdas
2021	A	`conf`	Significance of Gradient Information in Bayesian Optimization. AISTATS Shubhanshu Shekhar, Tara Javidi
2021	—	`conf`	Uncertain-aware Safe Exploratory Planning using Gaussian Process and Neural Control Contraction Metric. L4DC Dawei Sun, Mohammad Javad Khojasteh, Shubhanshu Shekhar, Chuchu Fan
2021	J	`jnl`	Uncertainty-aware Safe Exploratory Planning using Gaussian Process and Neural Control Contraction Metric. CoRR Dawei Sun, Mohammad Javad Khojasteh, Shubhanshu Shekhar, Chuchu Fan
2020	B	`conf`	Active Learning for Classification with Abstention. ISIT Shubhanshu Shekhar, Mohammad Ghavamzadeh, Tara Javidi
2020	A	`conf`	Active Model Estimation in Markov Decision Processes. UAI Jean Tarbouriech, Shubhanshu Shekhar, Matteo Pirotta, Mohammad Ghavamzadeh, Alessandro Lazaric
2020	J	`jnl`	Active Model Estimation in Markov Decision Processes. CoRR Jean Tarbouriech, Shubhanshu Shekhar, Matteo Pirotta, Mohammad Ghavamzadeh, Alessandro Lazaric
2020	A*	`conf`	Adaptive Sampling for Estimating Probability Distributions. ICML Shubhanshu Shekhar, Tara Javidi, Mohammad Ghavamzadeh
2020	J	`jnl`	Multi-Scale Zero-Order Optimization of Smooth Functions in an RKHS. CoRR Shubhanshu Shekhar, Tara Javidi
2019	J	`jnl`	Active Learning for Binary Classification with Abstention. CoRR Shubhanshu Shekhar, Mohammad Ghavamzadeh, Tara Javidi
2019	J	`jnl`	Adaptive Sampling for Estimating Multiple Probability Distributions. CoRR Shubhanshu Shekhar, Mohammad Ghavamzadeh, Tara Javidi
2019	J	`jnl`	Binary Classification with Bounded Abstention Rate. CoRR Shubhanshu Shekhar, Mohammad Ghavamzadeh, Tara Javidi
2019	A	`conf`	Multiscale Gaussian Process Level Set Estimation. AISTATS Shubhanshu Shekhar, Tara Javidi
2019	J	`jnl`	Multiscale Gaussian Process Level Set Estimation. CoRR Shubhanshu Shekhar, Tara Javidi
2018	J	`jnl`	Species Tree Estimation Using ASTRAL: How Many Genes Are Enough? IEEE ACM Trans. Comput. Biol. Bioinform. Shubhanshu Shekhar, Sebastien Roch, Siavash Mirarab
2017	—	`conf`	Bayesian function optimization with adaptive discretization. Allerton Shubhanshu Shekhar, Tara Javidi
2017	J	`jnl`	Gaussian Process bandits with adaptive discretization. CoRR Shubhanshu Shekhar, Tara Javidi
2017	B	`conf`	Species Tree Estimation Using ASTRAL: How Many Genes Are Enough? RECOMB Shubhanshu Shekhar, Sebastien Roch, Siavash Mirarab
2017	J	`jnl`	Species tree estimation using ASTRAL: how many genes are enough? CoRR Shubhanshu Shekhar, Sebastien Roch, Siavash Mirarab