Prior Specification for Exposure-based Bayesian Matrix Factorization
Zicong Zhu, Issei Sato
Action editor: Seungjin Choi
https://openreview.net/forum?id=o5R4Hv9XqC
#priors #prior #hyperparameters
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#hyperparameters
Latest posts tagged with #hyperparameters on Bluesky
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Posts tagged #hyperparameters
FoMo-0D: A Foundation Model for Zero-shot Tabular Outlier Detection
Yuchen Shen, Haomin Wen, Leman Akoglu
Action editor: Jiangchao Yao
https://openreview.net/forum?id=XCQzwpR9jE
#outlier #inlier #hyperparameters
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New #J2C Certification:
Risk-Controlling Model Selection via Guided Bayesian Optimization
Bracha Laufer-Goldshtein, Adam Fisch, Regina Barzilay, Tommi Jaakkola
https://openreview.net/forum?id=nvmGBcElus
#hyperparameters #guided #optimization
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New Study Explains Optimal Settings for Adam Optimizer’s β1 and β2
Researchers find Adam’s β1 = 0.9 and β2 = 0.999 work, but the β1 = √β2 rule is only optimal for certain settings; training benefits from adjusting momentum parameters. getnews.me/new-study-explains-optim... #adamoptimizer #hyperparameters
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How far away are truly hyperparameter-free learning algorithms?
Priya Kasimbeg, Vincent Roulet, Naman Agarwal et al.
Action editor: Bryan Kian Hsiang Low
https://openreview.net/forum?id=6BlOCx5c5T
#hyperparameters #hyperparameter #benchmark
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Hyperparameters in Continual Learning: A Reality Check
Sungmin Cha, Kyunghyun Cho
Action editor: Elahe Arani
https://openreview.net/forum?id=hiiRCXmbAz
#hyperparameters #hyperparameter #continual
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Meta-learning Population-based Methods for Reinforcement Learning
Johannes Hog, Raghu Rajan, André Biedenkapp, Noor Awad, Frank Hutter, Vu Nguyen
Action editor: Mirco Mutti
https://openreview.net/forum?id=d9htascfP8
#bandits #optimize #hyperparameters
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Relax and penalize: a new bilevel approach to mixed-binary hyperparameter optimization
Sara Venturini, Marianna De Santis, Jordan Patracone et al.
Action editor: Vlad Niculae
https://openreview.net/forum?id=A1R1cQ93Cb
#hyperparameters #hyperparameter #optimization
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#SVMs are a powerful supervised #ML algorithm for classification & regression. Jamie Crossman-Smith breaks them down with examples, key #hyperparameters, #kernels, and pros/cons. Train & apply them in #KNIME with Leaner-Predictor nodes!
📌 #READ → medium.com/low-code-for...
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A thorough reproduction and evaluation of $\mu$P
Georgios Vlassis, David Belius, Volodymyr Fomichov
Action editor: Anastasios Kyrillidis
https://openreview.net/forum?id=AFxEdJwQcp
#hyperparameters #parameters #weights
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Transfer Learning in $\ell_1$ Regularized Regression: Hyperparameter Selection Strategy based on ...
Koki Okajima, Tomoyuki Obuchi
Action editor: Bo Han
https://openreview.net/forum?id=ccu0M3nmlF
#lasso #regularized #hyperparameters
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An analysis of the noise schedule for score-based generative models
Stanislas Strasman, Antonio Ocello, Claire Boyer, Sylvain Le Corff, Vincent Lemaire
Action editor: Bruno Loureiro
https://openreview.net/forum?id=BlYIPa0Fx1
#generative #wasserstein #hyperparameters
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Risk-Controlling Model Selection via Guided Bayesian Optimization
Bracha Laufer-Goldshtein, Adam Fisch, Regina Barzilay, Tommi Jaakkola
Action editor: Pavel Izmailov
https://openreview.net/forum?id=nvmGBcElus
#hyperparameters #guided #optimization
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Reading Recommendation: "Beyond algorithm #hyperparameters: on preprocessing hyperparameters and associated pitfalls in machine learning applications" idea.gm.th-koeln.de?p=802
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Improving Generalization of Complex Models under Unbounded Loss Using PAC-Bayes Bounds
Xitong Zhang, Avrajit Ghosh, Guangliang Liu, Rongrong Wang
Action editor: Benjamin Guedj
https://openreview.net/forum?id=MP8bmxvWt6
#regularization #priors #hyperparameters
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#CausalML update - fitting my first #CausalForest on real data! Does anyone have advice on the most important #hyperparameters? I've got large imbalanced data and a lot of treatment variables, so it's not like anything you see in the economics literature. 🤔 #ML #AI #causal #dataskyence
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🔍📊🚀 Scaling Laws Refined: Learning Rate Optimization for Large Language Models www.azoai.com/news/2024100... #AI #MachineLearning #LLMs #DeepLearning #ScalingLaws #Optimization #BigData #AIResearch #Hyperparameters #LLama1 @arxiv-stat-ml.bsky.social
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📢 Publicationalert: "The Role of Hyperparameters in Machine Learning Models and How to Tune Them" with with Luka Biedebach Andreas Küpfer and Marcel Neunhoeffer in Political Science Research and Methods. Margeret is loving #hyperparameters. Do you? doi.org/10.1017/psrm... 🧵 [1/5]
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#publicationalert #Hyperparameters matter for #MachineLearning. In PSRM, @chrisguarnold.bsky.social, Luka Biedebach, Marcel Neunhoeffer, and I show that only 20.31% of top PolSci papers report their HP choices and how they tuned them: doi.org/10.1017/psrm... (1/3)
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