Javidi, Tara

17 publications

COLT 2024 A Non-Adaptive Algorithm for the Quantitative Group Testing Problem Mahdi Soleymani, Tara Javidi

ICMLW 2023 Competing Bandits in Non-Stationary Matching Markets Avishek Ghosh, Abishek Sankararaman, Kannan Ramchandran, Tara Javidi, Arya Mazumdar

MLJ 2023 Decentralized Bayesian Learning with Metropolis-Adjusted Hamiltonian Monte Carlo Vyacheslav Kungurtsev, Adam D. Cobb, Tara Javidi, Brian Jalaian

ICML 2022 Instance Dependent Regret Analysis of Kernelized Bandits Shubhanshu Shekhar, Tara Javidi

AISTATS 2021 Significance of Gradient Information in Bayesian Optimization Shubhanshu Shekhar, Tara Javidi

L4DC 2021 Adaptive Sampling for Estimating Distributions: A Bayesian Upper Confidence Bound Approach Dhruva Kartik, Neeraj Sood, Urbashi Mitra, Tara Javidi

NeurIPS 2021 Adaptive Sampling for Minimax Fair Classification Shubhanshu Shekhar, Greg Fields, Mohammad Ghavamzadeh, Tara Javidi

FnTML 2021 Advances and Open Problems in Federated Learning Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Hubert Eichner, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Hang Qi, Daniel Ramage, Ramesh Raskar, Mariana Raykova, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao

COLT 2021 Open Problem: Tight Online Confidence Intervals for RKHS Elements Sattar Vakili, Jonathan Scarlett, Tara Javidi

ICCVW 2021 Trojan Signatures in DNN Weights Greg Fields, Mohammad Samragh, Mojan Javaheripi, Farinaz Koushanfar, Tara Javidi

ICML 2020 Adaptive Sampling for Estimating Probability Distributions Shubhanshu Shekhar, Tara Javidi, Mohammad Ghavamzadeh

AISTATS 2019 Multiscale Gaussian Process Level Set Estimation Shubhanshu Shekhar, Tara Javidi

NeurIPS 2019 The Label Complexity of Active Learning from Observational Data Songbai Yan, Kamalika Chaudhuri, Tara Javidi

ICML 2018 Active Learning with Logged Data Songbai Yan, Kamalika Chaudhuri, Tara Javidi

CVPR 2017 Fully-Adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification Yongxi Lu, Abhishek Kumar, Shuangfei Zhai, Yu Cheng, Tara Javidi, Rogerio Feris

NeurIPS 2016 Active Learning from Imperfect Labelers Songbai Yan, Kamalika Chaudhuri, Tara Javidi

CVPR 2016 Adaptive Object Detection Using Adjacency and Zoom Prediction Yongxi Lu, Tara Javidi, Svetlana Lazebnik