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2020 – today
- 2026
[i9]Yutao Chen, Jasmine Bayrooti, Steven Morad:
Learning Mixture Density via Natural Gradient Expectation Maximization. CoRR abs/2602.10602 (2026)- [i8]Jasmine Bayrooti, Weiwei Kong, Natalia Ponomareva, Carlos Esteves, Ameesh Makadia, Amanda Prorok:
Decomposing Private Image Generation via Coarse-to-Fine Wavelet Modeling. CoRR abs/2602.23262 (2026) - 2025
- [c3]Jasmine Bayrooti, Carl Henrik Ek, Amanda Prorok:
Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling. ICLR 2025 - [i7]Jasmine Bayrooti, Sattar Vakili, Amanda Prorok, Carl Henrik Ek:
No-Regret Thompson Sampling for Finite-Horizon Markov Decision Processes with Gaussian Processes. CoRR abs/2510.20725 (2025) - 2024
- [c2]Zhan Gao, Guang Yang, Jasmine Bayrooti, Amanda Prorok:
Provably Safe Online Multi-Agent Navigation in Unknown Environments. CoRL 2024: 5466-5486 - [i6]Jasmine Bayrooti, Carl Henrik Ek, Amanda Prorok:
Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling. CoRR abs/2410.04988 (2024) - 2023
- [c1]Jasmine Bayrooti, Noah D. Goodman, Alex Tamkin:
Multispectral Contrastive Learning with Viewmaker Networks. CVPR Workshops 2023: 440-448 - [i5]Jasmine Bayrooti, Noah D. Goodman, Alex Tamkin:
Multispectral Self-Supervised Learning with Viewmaker Networks. CoRR abs/2302.05757 (2023) - [i4]Jasmine Bayrooti, Zhan Gao, Amanda Prorok:
Differentially Private Decentralized Deep Learning with Consensus Algorithms. CoRR abs/2306.13892 (2023) - 2021
- [i3]Oliver Zhang, Mike Wu, Jasmine Bayrooti, Noah D. Goodman:
Temperature as Uncertainty in Contrastive Learning. CoRR abs/2110.04403 (2021) - 2020
- [i2]Nikka Mofid, Jasmine Bayrooti, Shreya Ravi:
Keep Your AI-es on the Road: Tackling Distracted Driver Detection with Convolutional Neural Networks and Targeted Data Augmentation. CoRR abs/2006.10955 (2020) - [i1]Elizabeth Reichert, Helen Qiu, Jasmine Bayrooti:
Reading Between the Demographic Lines: Resolving Sources of Bias in Toxicity Classifiers. CoRR abs/2006.16402 (2020)
Coauthor Index
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