• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 3,592 matches

• 2024
• 
  Shu Hu, George H. Chen:
  Fairness in Survival Analysis with Distributionally Robust Optimization. J. Mach. Learn. Res. 25: 246:1-246:85 (2024)
• 
  Fanghui Liu, Leello Tadesse Dadi, Volkan Cevher:
  Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networks. J. Mach. Learn. Res. 25: 138:1-138:42 (2024)
• 
  Zhen Fang, Yixuan Li, Feng Liu, Bo Han, Jie Lu:
  On the Learnability of Out-of-distribution Detection. J. Mach. Learn. Res. 25: 84:1-84:83 (2024)
• 
  Roberto I. Oliveira, Paulo Orenstein, Thiago Ramos, João Vitor Romano:
  Split Conformal Prediction and Non-Exchangeable Data. J. Mach. Learn. Res. 25: 225:1-225:38 (2024)
• 
  José A. Carrillo, Nicolás García Trillos, Sixu Li, Yuhua Zhu:
  FedCBO: Reaching Group Consensus in Clustered Federated Learning through Consensus-based Optimization. J. Mach. Learn. Res. 25: 214:1-214:51 (2024)
• 
  Xiangxiang Xu, Lizhong Zheng:
  Neural Feature Learning in Function Space. J. Mach. Learn. Res. 25: 142:1-142:76 (2024)
• 
  Aditya Modi, Jinglin Chen, Akshay Krishnamurthy, Nan Jiang, Alekh Agarwal:
  Model-Free Representation Learning and Exploration in Low-Rank MDPs. J. Mach. Learn. Res. 25: 6:1-6:76 (2024)
• 
  Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi, Andrea Paudice:
  Margin-Based Active Learning of Classifiers. J. Mach. Learn. Res. 25: 127:1-127:45 (2024)
• 
  Feng Xie, Biwei Huang, Zhengming Chen, Ruichu Cai, Clark Glymour, Zhi Geng, Kun Zhang:
  Generalized Independent Noise Condition for Estimating Causal Structure with Latent Variables. J. Mach. Learn. Res. 25: 191:1-191:61 (2024)
• 
  Pan Zhou, Xingyu Xie, Zhouchen Lin, Kim-Chuan Toh, Shuicheng Yan:
  Win: Weight-Decay-Integrated Nesterov Acceleration for Faster Network Training. J. Mach. Learn. Res. 25: 83:1-83:74 (2024)
• 
  Yanqing Zhang, Qi Xu, Niansheng Tang, Annie Qu:
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• 
  Matthias König, Annelot W. Bosman, Holger H. Hoos, Jan N. van Rijn:
  Critically Assessing the State of the Art in Neural Network Verification. J. Mach. Learn. Res. 25: 12:1-12:53 (2024)
• 
  Peng Zhao, Yu-Jie Zhang, Lijun Zhang, Zhi-Hua Zhou:
  Adaptivity and Non-stationarity: Problem-dependent Dynamic Regret for Online Convex Optimization. J. Mach. Learn. Res. 25: 98:1-98:52 (2024)
• 
  Xu Liu, Heng Lian, Jian Huang:
  More Efficient Estimation of Multivariate Additive Models Based on Tensor Decomposition and Penalization. J. Mach. Learn. Res. 25: 161:1-161:27 (2024)
• 
  Hao Liu, Haizhao Yang, Minshuo Chen, Tuo Zhao, Wenjing Liao:
  Deep Nonparametric Estimation of Operators between Infinite Dimensional Spaces. J. Mach. Learn. Res. 25: 24:1-24:67 (2024)
• 
  Rui Wang, Yuesheng Xu, Mingsong Yan:
  Sparse Representer Theorems for Learning in Reproducing Kernel Banach Spaces. J. Mach. Learn. Res. 25: 93:1-93:45 (2024)
• 
  El Mehdi Achour, François Malgouyres, Sébastien Gerchinovitz:
  The Loss Landscape of Deep Linear Neural Networks: a Second-order Analysis. J. Mach. Learn. Res. 25: 242:1-242:76 (2024)
• 
  Arya Akhavan, Davit Gogolashvili, Alexandre B. Tsybakov:
  Estimating the Minimizer and the Minimum Value of a Regression Function under Passive Design. J. Mach. Learn. Res. 25: 11:1-11:37 (2024)
• 
  Ömer Deniz Akyildiz, Sotirios Sabanis:
  Nonasymptotic analysis of Stochastic Gradient Hamiltonian Monte Carlo under local conditions for nonconvex optimization. J. Mach. Learn. Res. 25: 113:1-113:34 (2024)
• 
  Giovanni S. Alberti, Johannes Hertrich, Matteo Santacesaria, Silvia Sciutto:
  Manifold Learning by Mixture Models of VAEs for Inverse Problems. J. Mach. Learn. Res. 25: 202:1-202:35 (2024)
• 
  Meysam Alishahi, Anna Little, Jeff M. Phillips:
  Linear Distance Metric Learning with Noisy Labels. J. Mach. Learn. Res. 25: 121:1-121:53 (2024)
• 
  Stefan Ankirchner, Stefan Perko:
  A Comparison of Continuous-Time Approximations to Stochastic Gradient Descent. J. Mach. Learn. Res. 25: 13:1-13:55 (2024)
• 
  Shivam Arora, Alex Bihlo, Francis Valiquette:
  Invariant Physics-Informed Neural Networks for Ordinary Differential Equations. J. Mach. Learn. Res. 25: 233:1-233:24 (2024)
• 
  Amir-Reza Asadi:
  An Entropy-Based Model for Hierarchical Learning. J. Mach. Learn. Res. 25: 187:1-187:45 (2024)
• 
  Yair Ashlagi, Lee-Ad Gottlieb, Aryeh Kontorovich:
  Functions with average smoothness: structure, algorithms, and learning. J. Mach. Learn. Res. 25: 117:1-117:54 (2024)
• 
  Idan Attias, Aryeh Kontorovich:
  Fat-Shattering Dimension of k-fold Aggregations. J. Mach. Learn. Res. 25: 144:1-144:29 (2024)
• 
  Naoki Awaya, Li Ma:
  Unsupervised Tree Boosting for Learning Probability Distributions. J. Mach. Learn. Res. 25: 198:1-198:52 (2024)
• 
  Mona Azadkia, Fadoua Balabdaoui:
  Linear Regression With Unmatched Data: A Deconvolution Perspective. J. Mach. Learn. Res. 25: 197:1-197:55 (2024)
• 
  Giovanni Ballarin, Lyudmila Grigoryeva, Juan-Pablo Ortega:
  Memory of recurrent networks: Do we compute it right? J. Mach. Learn. Res. 25: 243:1-243:38 (2024)
• 
  Hari Bandi, Dimitris Bertsimas, Thodoris Koukouvinos, Sofie Kupiec:
  Interpretable algorithmic fairness in structured and unstructured data. J. Mach. Learn. Res. 25: 215:1-215:42 (2024)

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