引用次数
引用: 712
H-指数: 15
I10-指数 : 17
出版物: 50
Direct: Deep active learning under imbalance and label noise
Shyam Nuggehalli , Jifan Zhang , Lalit Jain , Robert Nowak
arXiv preprint arXiv:2312.09196
1
2023
Experimental Designs for Heteroskedastic Variance
Justin Weltz , Tanner Fiez , Alexander Volfovsky , Eric Laber
Advances in Neural Information Processing Systems 36
1
2024
Active learning with safety constraints
Romain Camilleri , Andrew Wagenmaker , Jamie H Morgenstern , Lalit Jain
Advances in Neural Information Processing Systems 35 33201 -33214
12
2022
Fair Active Learning in Low-Data Regimes
Romain Camilleri , Andrew Wagenmaker , Jamie Morgenstern , Lalit Jain
arXiv preprint arXiv:2312.08559
2023
Instance-optimal pac algorithms for contextual bandits
Zhaoqi Li , Lillian Ratliff , Houssam Nassif , Kevin Jamieson
Advances in Neural Information Processing Systems 35 37590 -37603
20
2022
Sample-efficient identification of high-dimensional antibiotic synergy with a normalized diagonal sampling design
Jennifer Brennan , Lalit Jain , Sofia Garman , Ann E Donnelly
PLOS Computational Biology 18 ( 7) e1010311 -e1010311
3
2022
Interactive machine learning
Kevin Jamieson , Lalit Jain
1
2022
Learning to actively learn: A robust approach
Jifan Zhang , Lalit Jain , Kevin Jamieson
arXiv preprint arXiv:2010.15382
1
2020
Minimax Optimal Submodular Optimization with Bandit Feedback
Artin Tajdini , Lalit Jain , Kevin Jamieson
arXiv preprint arXiv:2310.18465
2023
Convergence rates for ordinal embedding
Jordan S Ellenberg , Lalit Jain
arXiv preprint arXiv:1904.12994
2019
Spectral Methods for Ranking with Scarce Data
Umang Varma , Lalit Jain , Anna C Gilbert
arXiv preprint arXiv:2007.01346
2020
Adaptive Experimentation When You Can't Experiment
Yao Zhao , Kwang-Sung Jun , Tanner Fiez , Lalit Jain
arXiv preprint arXiv:2406.10738
2024
Adaptive Experimental Design and Counterfactual Inference
Tanner Fiez , Sergio Gamez , Arick Chen , Houssam Nassif
Workshops of ACM Conference on Recommender Systems (RecSys)
7
2022
Best of Three Worlds: Adaptive Experimentation for Digital Marketing in Practice
Tanner Fiez , Houssam Nassif , Yu-Cheng Chen , Sergio Gamez
The Web Conference (WWW)
2024
Adaptive Sampling for Coarse Ranking
Sumeet Katariya , Lalit Jain , Nandana Sengupta , James Evans
arXiv preprint arXiv:1802.07176
29
2018
Improved Algorithms for Agnostic Pool-based Active Classification
Julian Katz-Samuels , Jifan Zhang , Lalit Jain , Kevin Jamieson
arXiv preprint arXiv:2105.06499
20
2021
Computational Beam Dynamics Studies of Collective Instabilities Observed in SNS
Jeffrey A Holmes , S Cousineau , V Danilov , A Shishlo
Proceedings of the European Particle Accelerator Conference (EPAC08)
5
2008
The New Yorker cartoon caption contest dataset
Lalit Jain , Kevin Jamieson , Robert Mankoff , Robert Nowak
https://nextml.github.io/caption-contest-data/
3
2020
Optimal Exploration is no harder than Thompson Sampling
Zhaoqi Li , Kevin Jamieson , Lalit Jain
arXiv preprint arXiv:2310.06069
1
2023
A/B Testing and Best-arm Identification for Linear Bandits with Robustness to Non-stationarity
Zhihan Xiong , Romain Camilleri , Maryam Fazel , Lalit Jain
arXiv preprint arXiv:2307.15154
1
2023