Jonas Mueller

ORCID

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 50

Top Venues

Massachusetts Institute of Technology, Cambridge, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, USA

PHD

Publications

Hui Wen Goh, Jonas Mueller
ActiveLab: Active Learning with Re-Labeling by Multiple Annotators. CoRR (2023)
Hang Zhang, Chongruo Wu, Zhongyue Zhang, Yi Zhu, Haibin Lin, Zhi Zhang, Yue Sun, Tong He, Jonas Mueller, R. Manmatha, Mu Li, Alexander J. Smola
ResNeSt: Split-Attention Networks. CVPR Workshops (2022)
Johnson Kuan, Jonas Mueller
Back to the Basics: Revisiting Out-of-Distribution Detection Baselines. CoRR (2022)
Wei-Chen Wang, Jonas Mueller
Detecting Label Errors in Token Classification Data. CoRR (2022)
Jiuhai Chen, Jonas Mueller, Vassilis N. Ioannidis, Soji Adeshina, Yangkun Wang, Tom Goldstein, David Wipf
Does your graph need a confidence boost? Convergent boosted smoothing on graphs with tabular node features. ICLR (2022)
Massimo Caccia, Jonas Mueller, Taesup Kim, Laurent Charlin, Rasool Fakoor
Task-Agnostic Continual Reinforcement Learning: In Praise of a Simple Baseline. CoRR (2022)
Rasool Fakoor, Jonas Mueller, Zachary C. Lipton, Pratik Chaudhari, Alexander J. Smola
Data drift correction via time-varying importance weight estimator. CoRR (2022)
Jiuhai Chen, Jonas Mueller, Vassilis N. Ioannidis, Tom Goldstein, David Wipf
A Robust Stacking Framework for Training Deep Graph Models with Multifaceted Node Features. CoRR (2022)
Mark Mazumder, Colby R. Banbury, Xiaozhe Yao, Bojan Karlas, William Gaviria Rojas, Sudnya Frederick Diamos, Greg Diamos, Lynn He, Douwe Kiela, David Jurado, David Kanter, Rafael Mosquera, Juan Ciro, Lora Aroyo, Bilge Acun, Sabri Eyuboglu, Amirata Ghorbani, Emmett D. Goodman, Tariq Kane, Christine R. Kirkpatrick, Tzu-Sheng Kuo, Jonas Mueller, Tristan Thrush, Joaquin Vanschoren, Margaret Warren, Adina Williams, Serena Yeung, Newsha Ardalani, Praveen K. Paritosh, Ce Zhang, James Zou, Carole-Jean Wu, Cody Coleman, Andrew Y. Ng, Peter Mattson, Vijay Janapa Reddi
DataPerf: Benchmarks for Data-Centric AI Development. CoRR (2022)
Aditya Thyagarajan, Elías Snorrason, Curtis G. Northcutt, Jonas Mueller
Identifying Incorrect Annotations in Multi-Label Classification Data. CoRR (2022)
Hui Wen Goh, Ulyana Tkachenko, Jonas Mueller
Utilizing supervised models to infer consensus labels and their quality from data with multiple annotators. CoRR (2022)
Rasool Fakoor, Jonas Mueller, Pratik Chaudhari, Alexander J. Smola
Continuous Doubly Constrained Batch Reinforcement Learning. CoRR (2021)
Xingjian Shi, Jonas Mueller, Nick Erickson, Mu Li, Alexander J. Smola
Benchmarking Multimodal AutoML for Tabular Data with Text Fields. CoRR (2021)
Rasool Fakoor, Jonas Mueller, Kavosh Asadi, Pratik Chaudhari, Alexander J. Smola
Continuous Doubly Constrained Batch Reinforcement Learning. NeurIPS (2021)
Brandon Carter, Siddhartha Jain, Jonas Mueller, David Gifford
Overinterpretation reveals image classification model pathologies. NeurIPS (2021)
Junwen Yao, Jonas Mueller, Jane-Ling Wang
Deep Learning for Functional Data Analysis with Adaptive Basis Layers. CoRR (2021)
Haoyu He, Xingjian Shi, Jonas Mueller, Sheng Zha, Mu Li, George Karypis
Distiller: A Systematic Study of Model Distillation Methods in Natural Language Processing. CoRR (2021)
Xingjian Shi, Jonas Mueller, Nick Erickson, Mu Li, Alexander J. Smola
Benchmarking Multimodal AutoML for Tabular Data with Text Fields. NeurIPS Datasets and Benchmarks (2021)
Junwen Yao, Jonas Mueller, Jane-Ling Wang
Deep Learning for Functional Data Analysis with Adaptive Basis Layers. ICML (2021)
Haoyu He, Xingjian Shi, Jonas Mueller, Sheng Zha, Mu Li, George Karypis
Distiller: A Systematic Study of Model Distillation Methods in Natural Language Processing. SustaiNLP@EMNLP (2021)
Curtis G. Northcutt, Anish Athalye, Jonas Mueller
Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks. NeurIPS Datasets and Benchmarks (2021)
Jiuhai Chen, Jonas Mueller, Vassilis N. Ioannidis, Soji Adeshina, Yangkun Wang, Tom Goldstein, David Wipf
Convergent Boosted Smoothing for Modeling Graph Data with Tabular Node Features. CoRR (2021)
Curtis G. Northcutt, Anish Athalye, Jonas Mueller
Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks. CoRR (2021)
Taesup Kim, Rasool Fakoor, Jonas Mueller, Alexander J. Smola, Ryan J. Tibshirani
Deep Quantile Aggregation. CoRR (2021)
Qixian Zhong, Jonas Mueller, Jane-Ling Wang
Deep Extended Hazard Models for Survival Analysis. NeurIPS (2021)
Rasool Fakoor, Jonas Mueller, Nick Erickson, Pratik Chaudhari, Alexander J. Smola
Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation. NeurIPS (2020)
Rasool Fakoor, Pratik Chaudhari, Jonas Mueller, Alexander J. Smola
TraDE: Transformers for Density Estimation. CoRR (2020)
Siddhartha Jain, Ge Liu, Jonas Mueller, David Gifford
Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep Ensembles. AAAI (2020)
Jonas Mueller, Xingjian Shi, Alexander J. Smola
Faster, Simpler, More Accurate: Practical Automated Machine Learning with Tabular, Text, and Image Data. KDD (2020)
Tianxiao Shen, Jonas Mueller, Regina Barzilay, Tommi S. Jaakkola
Educating Text Autoencoders: Latent Representation Guidance via Denoising. ICML (2020)
Brandon Carter, Siddhartha Jain, Jonas Mueller, David K. Gifford
Overinterpretation reveals image classification model pathologies. CoRR (2020)
Nick Erickson, Jonas Mueller, Alexander Shirkov, Hang Zhang, Pedro Larroy, Mu Li, Alexander J. Smola
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data. CoRR (2020)
Hang Zhang, Chongruo Wu, Zhongyue Zhang, Yi Zhu, Zhi Zhang, Haibin Lin, Yue Sun, Tong He, Jonas Mueller, R. Manmatha, Mu Li, Alexander J. Smola
ResNeSt: Split-Attention Networks. CoRR (2020)
Rasool Fakoor, Jonas Mueller, Nick Erickson, Pratik Chaudhari, Alexander J. Smola
Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation. CoRR (2020)
Ge Liu, Haoyang Zeng, Jonas Mueller, Brandon Carter, Ziheng Wang, Jonas Schilz, Geraldine Horny, Michael E. Birnbaum, Stefan Ewert, David K. Gifford
Antibody complementarity determining region design using high-capacity machine learning. Bioinform. 36 (7) (2020)
Brandon Carter, Jonas Mueller, Siddhartha Jain, David K. Gifford
What made you do this? Understanding black-box decisions with sufficient input subsets. AISTATS (2019)
Jonas Mueller, Alex Smola
Recognizing Variables from their Data via Deep Embeddings of Distributions. CoRR (2019)
Jonas Mueller, Alex Smola
Recognizing Variables from Their Data via Deep Embeddings of Distributions. ICDM (2019)
Jonas Mueller, Vasilis Syrgkanis, Matt Taddy
Low-Rank Bandit Methods for High-Dimensional Dynamic Pricing. NeurIPS (2019)
Zhijing Jin, Di Jin, Jonas Mueller, Nicholas Matthews, Enrico Santus
IMaT: Unsupervised Text Attribute Transfer via Iterative Matching and Translation. EMNLP/IJCNLP (1) (2019)
Siddhartha Jain, Ge Liu, Jonas Mueller, David K. Gifford
Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep Ensembles. CoRR (2019)
Zhijing Jin, Di Jin, Jonas Mueller, Nicholas Matthews, Enrico Santus
Unsupervised Text Style Transfer via Iterative Matching and Translation. CoRR (2019)
Tianxiao Shen, Jonas Mueller, Regina Barzilay, Tommi S. Jaakkola
Latent Space Secrets of Denoising Text-Autoencoders. CoRR (2019)
Brandon Carter, Jonas Mueller, Siddhartha Jain, David K. Gifford
What made you do this? Understanding black-box decisions with sufficient input subsets. CoRR (2018)
Jonas Mueller, Vasilis Syrgkanis, Matt Taddy
Low-rank Bandit Methods for High-dimensional Dynamic Pricing. CoRR (2018)
Jonas Mueller, Dominik Schmidt, Kai Velten
Transient boundary condition approach for simulating mechanical mixing in large wine tanks. Comput. Electron. Agric. 150 (2018)
Jonas Mueller, David Reshef, George Du, Tommi S. Jaakkola
Learning Optimal Interventions. AISTATS (2017)
Jonas Mueller, David K. Gifford, Tommi S. Jaakkola
Sequence to Better Sequence: Continuous Revision of Combinatorial Structures. ICML (2017)
Jonas Mueller, David Reshef, George Du, Tommi S. Jaakkola
Learning Optimal Interventions. CoRR (2016)
Jonas Mueller, Aditya Thyagarajan
Siamese Recurrent Architectures for Learning Sentence Similarity. AAAI (2016)
Jonas Mueller, Tommi S. Jaakkola
Principal Differences Analysis: Interpretable Characterization of Differences between Distributions. CoRR (2015)
Jonas Mueller, Tommi S. Jaakkola
Principal Differences Analysis: Interpretable Characterization of Differences between Distributions. NIPS (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jonas Mueller