Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Differentially Private Learning Needs Hidden State (Or Much Faster Convergence)

Jiayuan Ye, Reza Shokri p703-715 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Differentially Private Learning with Margin Guarantees

Raef Bassily, Mehryar Mohri, Ananda Theertha Suresh p32127-32141 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Differentially Private Linear Sketches: Efficient Implementations and Applications

Fuheng Zhao, Dan Qiao, Rachel Redberg, Divyakant Agrawal, Amr El Abbadi, Yu-Xiang Wang p12691-12704 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Differentially Private Model Compression

Fatemehsadat Mireshghallah, Arturs Backurs, Huseyin A. Inan, Lukas Wutschitz, Janardhan Kulkarni p29468-29483 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Differentially Private Online-To-Batch for Smooth Losses

Qinzi Zhang, Hoang Tran, Ashok Cutkosky p32512-32524 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Differentially Private Optimization with Sparse Gradients

Badih Ghazi, Cristóbal Guzmán, Pritish Kamath, Ravi Kumar, Pasin Manurangsi p63406-63440 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Differentially Private Quantiles with Smaller Error

Jacob Imola, Fabrizio Boninsegna, Hannah Keller, Anders Aamand, Amrita Roy Chowdhury, Rasmus Pagh p157193-157218 from Advances in Neural Information Processing Systems 38

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Differentially Private Reinforcement Learning with Self-Play

Dan Qiao, Yu-Xiang Wang p88117-88146 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Differentially Private Relational Learning with Entity-level Privacy Guarantees

Yinan Huang, Haoteng Yin, Eli Chien, Rongzhe Wei, Pan Li p95464-95494 from Advances in Neural Information Processing Systems 38

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Differentially Private Set Representations

Sarvar Patel, Giuseppe Persiano, Joon Young Seo, Kevin Yeo p81888-81911 from Advances in Neural Information Processing Systems 37

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$Differentially Private Statistical Inference through $\beta$-Divergence One Posterior Sampling$

Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Differentially Private Statistical Inference through $\beta$-Divergence One Posterior Sampling

Jack Jewson, Sahra Ghalebikesabi, Chris C Holmes p76974-77001 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Differentially Private Stochastic Gradient Descent with Fixed-Size Minibatches: Tighter RDP Guarantees with or without Replacement

Jeremiah Birrell, Reza Ebrahimi, Rouzbeh Behnia, Jason Pacheco p11087-11131 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Differentiation Through Black-Box Quadratic Programming Solvers

Connor Magoon, Fengyu Yang, Noam Aigerman, Shahar Kovalsky p120073-120104 from Advances in Neural Information Processing Systems 38

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

DiffEye: Diffusion-Based Continuous Eye-Tracking Data Generation Conditioned on Natural Images

Ozgur Kara, Harris Nisar, James Rehg p171348-171371 from Advances in Neural Information Processing Systems 38

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

DiffGS: Functional Gaussian Splatting Diffusion

Junsheng Zhou, Weiqi Zhang, Yu-Shen Liu p37535-37560 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

DiffHammer: Rethinking the Robustness of Diffusion-Based Adversarial Purification

Kaibo Wang, Xiaowen Fu, Yuxuan Han, Yang Xiang p89535-89562 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology

Marco Aversa, Gabriel Nobis, Miriam Hägele, Kai Standvoss, Mihaela Chirica, Roderick Murray-Smith, Ahmed Alaa, Lukas Ruff, Daniela Ivanova, Wojciech Samek, Frederick Klauschen, Bruno Sanguinetti, Luis Oala p78126-78141 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation

Kaipeng Zheng, Huishuai Zhang, Weiran Huang p49403-49415 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

DiffLiG: Diffusion-enhanced Liquid Graph with Attention Propagation for Grid-to-Station Precipitation Correction

Yuxiang Li, Yang Zhang, Li Li, Mengxuan Chen, Meng Jin, Fang Wang, Haohuan Fu, Juepeng Zheng p165913-165949 from Advances in Neural Information Processing Systems 38

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing Data

Hanyang Chen, Yang Jiang, Shengnan Guo, Xiaowei Mao, Youfang Lin, Huaiyu Wan p123353-123378 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

DiffNorm: Self-Supervised Normalization for Non-autoregressive Speech-to-speech Translation

Weiting Tan, Jingyu Zhang, Lingfeng Shen, Daniel Khashabi, Philipp Koehn p33262-33285 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain Packing

Yangtian Zhang, Zuobai Zhang, Bozitao Zhong, Sanchit Misra, Jian Tang p48150-48172 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

DiffPano: Scalable and Consistent Text to Panorama Generation with Spherical Epipolar-Aware Diffusion

Weicai Ye, Chenhao Ji, Zheng Chen, Junyao Gao, Xiaoshui Huang, Song-Hai Zhang, Wanli Ouyang, Tong He, Cairong Zhao, Guofeng Zhang p1304-1332 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

DiffPhyCon: A Generative Approach to Control Complex Physical Systems

Long Wei, Peiyan Hu, Ruiqi Feng, Haodong Feng, Yixuan Du, Tao Zhang, Rui Wang, Yue Wang, Zhi-Ming Ma, Tailin Wu p4090-4147 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Differentially Private Learning Needs Hidden State (Or Much Faster Convergence)

Differentially Private Learning with Margin Guarantees

Differentially Private Linear Sketches: Efficient Implementations and Applications

Differentially Private Model Compression

Differentially Private Online-To-Batch for Smooth Losses

Differentially Private Optimization with Sparse Gradients

Differentially Private Quantiles with Smaller Error

Differentially Private Reinforcement Learning with Self-Play

Differentially Private Relational Learning with Entity-level Privacy Guarantees

Differentially Private Set Representations

Differentially Private Statistical Inference through $\beta$-Divergence One Posterior Sampling

Differentially Private Stochastic Gradient Descent with Fixed-Size Minibatches: Tighter RDP Guarantees with or without Replacement

Differentiation Through Black-Box Quadratic Programming Solvers

DiffEye: Diffusion-Based Continuous Eye-Tracking Data Generation Conditioned on Natural Images

DiffGS: Functional Gaussian Splatting Diffusion

DiffHammer: Rethinking the Robustness of Diffusion-Based Adversarial Purification

DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology

DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation

DiffLiG: Diffusion-enhanced Liquid Graph with Attention Propagation for Grid-to-Station Precipitation Correction

DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing Data

DiffNorm: Self-Supervised Normalization for Non-autoregressive Speech-to-speech Translation

DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain Packing

DiffPano: Scalable and Consistent Text to Panorama Generation with Spherical Epipolar-Aware Diffusion

DiffPhyCon: A Generative Approach to Control Complex Physical Systems

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