Jane H. Lee

12 papers A* 4A 1Journal 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
Learning with Positive and Imperfect Unlabeled Data.
CoRR
Jane H. Lee, Anay Mehrotra, Manolis Zampetakis
2025 J jnl
Massive Memorization with Hundreds of Trillions of Parameters for Sequential Transducer Generative Recommenders.
CoRR
Zhimin Chen, Chenyu Zhao, Ka Chun Mo, Yunjiang Jiang, Jane H. Lee, Shouwei Chen, Khushhall Chandra Mahajan, Ning Jiang, Kai Ren, Jinhui Li, Wen-Yun Yang
2025 J jnl
Risk-Averse Constrained Reinforcement Learning with Optimized Certainty Equivalents.
CoRR
Jane H. Lee, Baturay Saglam, Spyridon Pougkakiotis, Amin Karbasi, Dionysis Kalogerias
2024 A* conf
Efficient Statistics With Unknown Truncation, Polynomial Time Algorithms, Beyond Gaussians.
FOCS
Jane H. Lee, Anay Mehrotra, Manolis Zampetakis
2024 J jnl
Efficient Statistics With Unknown Truncation, Polynomial Time Algorithms, Beyond Gaussians.
CoRR
Jane H. Lee, Anay Mehrotra, Manolis Zampetakis
2023 A conf
Exact Gradient Computation for Spiking Neural Networks via Forward Propagation.
AISTATS
Jane H. Lee, Saeid Haghighatshoar, Amin Karbasi
2023 A* conf
Learning Exponential Families from Truncated Samples.
NeurIPS
Jane H. Lee, Andre Wibisono, Emmanouil Zampetakis
2022 J jnl
Exact Gradient Computation for Spiking Neural Networks Through Forward Propagation.
CoRR
Jane H. Lee, Saeid Haghighatshoar, Amin Karbasi
2021 A* conf
Learning from Noisy Labels with No Change to the Training Process.
ICML
Mingyuan Zhang, Jane H. Lee, Shivani Agarwal
2021 J jnl
The rural-urban stress divide: Obtaining geographical insights through Twitter.
Comput. Hum. Behav.
Kokil Jaidka, Sharath Chandra Guntuku, Jane H. Lee, Zhengyi Luo, Anneke Buffone, Lyle H. Ungar
2020 A* conf
A Group-Theoretic Framework for Data Augmentation.
NeurIPS
Shuxiao Chen, Edgar Dobriban, Jane H. Lee
2019 J jnl
Invariance reduces Variance: Understanding Data Augmentation in Deep Learning and Beyond.
CoRR
Shuxiao Chen, Edgar Dobriban, Jane H. Lee