Shubhanshu Shekhar
13 papers · 2019–2024 · 6 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+6 more ↓ Show less ↑
π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (6) π Academic Marathon (5) π Cross-Pollinator (7)
π
Conference Polyglot
(6)
π
Academic Marathon
(5)
π
Cross-Pollinator
(7)
π
Century Club
(13)
π₯
Unstoppable
(6)
ποΈ
Keyword Collector
(70)
Conferences
ICML (4)
AISTATS (3)
NIPS (2)
UAI (2)
JMLR (1)
L4DC (1)
Top co-authors
Research topics
Keywords
gaussian process
(4)
permutation test
(2)
confidence sequence
(2)
bayesian optimization
(2)
two-sample test
(2)
adaptive sampling
(2)
uncertainty quantification
(1)
adversarial robustness
(1)
motion planning
(1)
markov decision process
(1)
fair classification
(1)
hypothesis testing
(1)
probability distribution
(1)
representation learning
(1)
side information
(1)
gaussian process regression
(1)
reproducing kernel hilbert space
(1)
sequential hypothesis testing
(1)
hilbert-schmidt independence criterion
(1)
sample complexity
(1)
Papers
Reducing sequential change detection to sequential estimation
ICML 2024
Deep anytime-valid hypothesis testing
AISTATS 2024
Sequential Changepoint Detection via Backward Confidence Sequences
ICML 2023
Risk-limiting financial audits via weighted sampling without replacement
UAI 2023
A Permutation-Free Kernel Independence Test
JMLR 2023
Instance Dependent Regret Analysis of Kernelized Bandits
ICML 2022
A permutation-free kernel two-sample test
NIPS 2022
Adaptive Sampling for Minimax Fair Classification
NIPS 2021
Significance of Gradient Information in Bayesian Optimization
AISTATS 2021
Uncertain-aware Safe Exploratory Planning using Gaussian Process and Neural Control Contraction Metric
L4DC 2021
Adaptive Sampling for Estimating Probability Distributions
ICML 2020
Active Model Estimation in Markov Decision Processes
UAI 2020
Multiscale Gaussian Process Level Set Estimation
AISTATS 2019