Journal of Machine Learning Research, Vol. 25, 2024
Article
1. On Truthing Issues in Supervised Classification. --Jonathan K. Su
2. Lower Complexity Bounds of Finite-Sum Optimization Problems: The Results and Construction. --Yuze Han, Guangzeng Xie, Zhihua Zhang
3. Power of knockoff: The impact of ranking algorithm, augmented design, and symmetric statistic. --Zheng Tracy Ke, Jun S. Liu, Yucong Ma
4. Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization. --Shicong Cen, Yuting Wei, Yuejie Chi
5. Seeded Graph Matching for the Correlated Gaussian Wigner Model via the Projected Power Method. --Ernesto Araya, Guillaume Braun, Hemant Tyagi
6. Model-Free Representation Learning and Exploration in Low-Rank MDPs. --Aditya Modi, Jinglin Chen, Akshay Krishnamurthy, Nan Jiang, Alekh Agarwal
7. Decorrelated Variable Importance. --Isabella Verdinelli, Larry Wasserman
8. On Efficient and Scalable Computation of the Nonparametric Maximum Likelihood Estimator in Mixture Models. --Yangjing Zhang, Ying Cui, Bodhisattva Sen, Kim-Chuan Toh
9. Exploration, Exploitation, and Engagement in Multi-Armed Bandits with Abandonment. --Zixian Yang, Xin Liu, Lei Ying
10. Modeling Random Networks with Heterogeneous Reciprocity. --Daniel Cirkovic, Tiandong Wang
11. Estimating the Minimizer and the Minimum Value of a Regression Function under Passive Design. --Arya Akhavan, Davit Gogolashvili, Alexandre B. Tsybakov
12. Critically Assessing the State of the Art in Neural Network Verification. --Matthias König, Annelot W. Bosman, Holger H. Hoos, Jan N. van Rijn
13. A Comparison of Continuous-Time Approximations to Stochastic Gradient Descent. --Stefan Ankirchner, Stefan Perko
14. Improving physics-informed neural networks with meta-learned optimization. --Alex Bihlo
15. On the Effect of Initialization: The Scaling Path of 2-Layer Neural Networks. --Sebastian Neumayer, Lénaïc Chizat, Michael Unser
16. Localized Debiased Machine Learning: Efficient Inference on Quantile Treatment Effects and Beyond. --Nathan Kallus, Xiaojie Mao, Masatoshi Uehara
17. On Sufficient Graphical Models. --Bing Li, Kyongwon Kim
18. Black Box Variational Inference with a Deterministic Objective: Faster, More Accurate, and Even More Black Box. --Ryan Giordano, Martin Ingram, Tamara Broderick
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1. On Truthing Issues in Supervised Classification. --Jonathan K. Su
2. Lower Complexity Bounds of Finite-Sum Optimization Problems: The Results and Construction. --Yuze Han, Guangzeng Xie, Zhihua Zhang
3. Power of knockoff: The impact of ranking algorithm, augmented design, and symmetric statistic. --Zheng Tracy Ke, Jun S. Liu, Yucong Ma
4. Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization. --Shicong Cen, Yuting Wei, Yuejie Chi
5. Seeded Graph Matching for the Correlated Gaussian Wigner Model via the Projected Power Method. --Ernesto Araya, Guillaume Braun, Hemant Tyagi
6. Model-Free Representation Learning and Exploration in Low-Rank MDPs. --Aditya Modi, Jinglin Chen, Akshay Krishnamurthy, Nan Jiang, Alekh Agarwal
7. Decorrelated Variable Importance. --Isabella Verdinelli, Larry Wasserman
8. On Efficient and Scalable Computation of the Nonparametric Maximum Likelihood Estimator in Mixture Models. --Yangjing Zhang, Ying Cui, Bodhisattva Sen, Kim-Chuan Toh
9. Exploration, Exploitation, and Engagement in Multi-Armed Bandits with Abandonment. --Zixian Yang, Xin Liu, Lei Ying
10. Modeling Random Networks with Heterogeneous Reciprocity. --Daniel Cirkovic, Tiandong Wang
11. Estimating the Minimizer and the Minimum Value of a Regression Function under Passive Design. --Arya Akhavan, Davit Gogolashvili, Alexandre B. Tsybakov
12. Critically Assessing the State of the Art in Neural Network Verification. --Matthias König, Annelot W. Bosman, Holger H. Hoos, Jan N. van Rijn
13. A Comparison of Continuous-Time Approximations to Stochastic Gradient Descent. --Stefan Ankirchner, Stefan Perko
14. Improving physics-informed neural networks with meta-learned optimization. --Alex Bihlo
15. On the Effect of Initialization: The Scaling Path of 2-Layer Neural Networks. --Sebastian Neumayer, Lénaïc Chizat, Michael Unser
16. Localized Debiased Machine Learning: Efficient Inference on Quantile Treatment Effects and Beyond. --Nathan Kallus, Xiaojie Mao, Masatoshi Uehara
17. On Sufficient Graphical Models. --Bing Li, Kyongwon Kim
18. Black Box Variational Inference with a Deterministic Objective: Faster, More Accurate, and Even More Black Box. --Ryan Giordano, Martin Ingram, Tamara Broderick
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Jonathan K. Su - Personal Name
Bing Li - Personal Name
Kallus, Nathan - Personal Name
Neumayer, Sebastian - Personal Name
Bihlo, Alex - Personal Name
Ankirchner, Stefan - Personal Name
König, Matthias - Personal Name
Akhavan, Arya - Personal Name
Cirkovic, Daniel - Personal Name
Yang, Zixian - Personal Name
Zhang, Yangjing - Personal Name
Verdinelli, Isabella - Personal Name
Modi, Aditya - Personal Name
Araya, Ernesto - Personal Name
Cen, Shicong - Personal Name
Zheng Tracy Ke - Personal Name
Han, Yuze - Personal Name
Giordano, Ryan - Personal Name
Bing Li - Personal Name
Kallus, Nathan - Personal Name
Neumayer, Sebastian - Personal Name
Bihlo, Alex - Personal Name
Ankirchner, Stefan - Personal Name
König, Matthias - Personal Name
Akhavan, Arya - Personal Name
Cirkovic, Daniel - Personal Name
Yang, Zixian - Personal Name
Zhang, Yangjing - Personal Name
Verdinelli, Isabella - Personal Name
Modi, Aditya - Personal Name
Araya, Ernesto - Personal Name
Cen, Shicong - Personal Name
Zheng Tracy Ke - Personal Name
Han, Yuze - Personal Name
Giordano, Ryan - Personal Name
Vol. 25, 2024
1533-7928
e-Journal TI
Inggris
JMLR Inc. - Microtome Publishing
2024
USA
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