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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Practical Bayesian Algorithm Execution via Posterior Sampling

Chu Cheng, Raul Astudillo, Thomas Desautels, Yisong Yue p135186-135207 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Practical Contextual Bandits with Feedback Graphs

Mengxiao Zhang, Yuheng Zhang, Olga Vrousgou, Haipeng Luo, Paul Mineiro p30592-30617 from Advances in Neural Information Processing Systems 36

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World Conference on Timber Engineering 2025

PRACTICAL DESIGN CONSIDERATIONS FOR TCC-ELEMENTS WITH CLT-SLABS

Thomas Moosbrugger, Harald Krenn p2554-2559 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Practical Differentially Private Hyperparameter Tuning with Subsampling

Antti Koskela, Tejas Kulkarni p28201-28225 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Practical Equivariances via Relational Conditional Neural Processes

Daolang Huang, Manuel Haussmann, Ulpu Remes, St John, Grégoire Clarté, Kevin Luck, Samuel Kaski, Luigi Acerbi p29201-29238 from Advances in Neural Information Processing Systems 36

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Research In Engineering Education Network

Practical problem-based learning during and ‘post’ COVID; a case study of ENGG1500

Dylan Cuskelly, Alexander Gregg, William McBride p11-19 from 9th Research in Engineering Education Symposium and 32nd Australasian Association for Engineering Education Conference (REES AAEE 2021)

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Practical Sharpness-Aware Minimization Cannot Converge All the Way to Optima

Dongkuk Si, Chulhee Yun p26190-26228 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Practical Shuffle Coding

Julius Kunze, Daniel Severo, Jan-Willem Van De Meent, James Townsend p84081-84113 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Pragmatically Learning from Pedagogical Demonstrations in Multi-Goal Environments

Hugo Caselles-Dupré, Olivier Sigaud, Mohamed Chetouani p28154-28166 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Pre-Activation Distributions Expose Backdoor Neurons

Runkai Zheng, Rongjun Tang, Jianze Li, Li Liu p18667-18680 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Pre-RMSNorm and Pre-CRMSNorm Transformers: Equivalent and Efficient Pre-LN Transformers

Zixuan Jiang, Jiaqi Gu, Hanqing Zhu, David Pan p45777-45793 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors

Ravid Shwartz-Ziv, Micah Goldblum, Hossein Souri, Sanyam Kapoor, Chen Zhu, Yann Lecun, Andrew Wilson p27706-27715 from Advances in Neural Information Processing Systems 35

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