Ian Waudby-Smith

1. Anytime-valid off-policy inference for contextual bandits
   2022/10/19 by Ian Waudby-Smith, Waudby-Smith, Ian, Lili Wu +7 · 9 citations
   Computer Science · Decision Sciences · Mathematics · #Advanced Bandit Algorithms Research #Advanced Causal Inference Techniques #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Mobile Crowdsensing and Crowdsourcing #Statistics Theory (math.ST)
2. Time-uniform central limit theory and asymptotic confidence sequences
   2021/03/11 by Ian Waudby-Smith, David Arbour, Waudby-Smith, Ian +7 · 4 citations
   Computer Science · Decision Sciences · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Methodology (stat.ME) #Probability and Risk Models #Statistics Theory (math.ST)
3. Confidence sequences for sampling without replacement
   2020/06/08 by Ian Waudby-Smith, Waudby-Smith, Ian, Aaditya Ramdas +1 · 3 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Advanced Statistical Process Monitoring #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Machine Learning and Algorithms #Methodology (stat.ME) #Statistics Theory (math.ST)
4. Universal Log-Optimality for General Classes of e-processes and Sequential Hypothesis Tests
   2025/04/03 by Ian Waudby-Smith, Waudby-Smith, Ian, Ricardo Sandoval +3 · 5 citations
   Decision Sciences · Engineering · #Advanced Statistical Process Monitoring #Control Systems and Identification #FOS: Computer and information sciences #FOS: Mathematics #Fault Detection and Control Systems #Methodology (stat.ME) #Statistics Theory (math.ST)
5. Distribution-uniform strong laws of large numbers
   2024/02/01 by Ian Waudby-Smith, Waudby-Smith, Ian, Martin Larsson +3 · 1 citation
   Decision Sciences · Economics, Econometrics and Finance · #FOS: Mathematics #Probability (math.PR) #Probability and Risk Models #Statistics Theory (math.ST) #Stochastic processes and financial applications
6. Gaffke's confidence interval for the mean of bounded data is inadmissible but asymptotically efficient
   2026/07/21 by Jiahao Ming, Aaditya Ramdas, Yi Shen +2 · 3 citations
   #math.ST #cs.IT #eess.SP #math.IT #math.PR #stat.ME #stat.TH
7. Post-Training at the Edge of Detectability: A Game-Theoretic Approach to Fine-Tuning
   2026/07/29 by Keegan Harris, Brian W. Lee, Ian Waudby-Smith +3
   Computer Science · #cs.AI #cs.GT #cs.LG