Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • On Neural Networks as Infinite Tree-Structured Probabilistic Graphical Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On Neural Networks as Infinite Tree-Structured Probabilistic Graphical Models

    Matthew Engelhard, Boyao Li, Houssam Nassif, David Page, Alexander Thomson p4598-4628 from Advances in Neural Information Processing Systems 37
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  • On provable privacy vulnerabilities of graph representations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On provable privacy vulnerabilities of graph representations

    Guanhua Fang, Tengfei Liu, Qiying Pan, Weiqiang Wang, Ruofan Wu, Mingyang Zhang p90891-90933 from Advances in Neural Information Processing Systems 37
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  • On Sampling Strategies for Spectral Model Sharding

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On Sampling Strategies for Spectral Model Sharding

    Denis Korzhenkov, Christos Louizos p61592-61620 from Advances in Neural Information Processing Systems 37
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  • On scalable oversight with weak LLMs judging strong LLMs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On scalable oversight with weak LLMs judging strong LLMs

    Rishabh Agarwal, Samuel Albanie, Jonah Brown-Cohen, Jannis Bulian, Noah Goodman, Zachary Kenton, János Kramár, David Lindner, Rohin Shah, Noah Siegel, Yunhao Tang p75229-75276 from Advances in Neural Information Processing Systems 37
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  • On Socially Fair Low-Rank Approximation and Column Subset Selection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On Socially Fair Low-Rank Approximation and Column Subset Selection

    Zhao Song, Ali Vakilian, David Woodruff, Samson Zhou p88874-88905 from Advances in Neural Information Processing Systems 37
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  • On Softmax Direct Preference Optimization for Recommendation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On Softmax Direct Preference Optimization for Recommendation

    Yuxin Chen, Tat-Seng Chua, Leheng Sheng, Junfei Tan, Xiang Wang, Zhengyi Yang, An Zhang, Enzhi Zhang p27463-27489 from Advances in Neural Information Processing Systems 37
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  • On Sparse Canonical Correlation Analysis

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On Sparse Canonical Correlation Analysis

    Santanu Dey, Yongchun Li, Weijun Xie p10707-10734 from Advances in Neural Information Processing Systems 37
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  • On Statistical Rates and  Provably Efficient Criteria of Latent Diffusion Transformers (DiTs)

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On Statistical Rates and Provably Efficient Criteria of Latent Diffusion Transformers (DiTs)

    Jerry Yao-Chieh Hu, Zhuoru Li, Han Liu, Sophia Pi, Zhao Song, Weimin Wu p31562-31628 from Advances in Neural Information Processing Systems 37
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  • On the Ability of Developers' Training Data Preservation of Learnware

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Ability of Developers' Training Data Preservation of Learnware

    Hao-Yi Lei, Zhi-Hao Tan, Zhi-Hua Zhou p36471-36513 from Advances in Neural Information Processing Systems 37
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  • On the Adversarial Robustness of Benjamini Hochberg

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Adversarial Robustness of Benjamini Hochberg

    Louis Chen, Matan Seri, Roberto Szechtman p90965-90988 from Advances in Neural Information Processing Systems 37
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  • On the Benefits of Public Representations for Private Transfer Learning under Distribution Shift

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Benefits of Public Representations for Private Transfer Learning under Distribution Shift

    Amrith Setlur, Virginia Smith, Pratiksha Thaker, Zhiwei Wu p27088-27120 from Advances in Neural Information Processing Systems 37
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  • On the cohesion and separability of average-link for hierarchical agglomerative clustering

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the cohesion and separability of average-link for hierarchical agglomerative clustering

    Miguel Batista, Eduardo Laber p48710-48739 from Advances in Neural Information Processing Systems 37
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  • On the Comparison between Multi-modal and Single-modal Contrastive Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Comparison between Multi-modal and Single-modal Contrastive Learning

    Yuan Cao, Yongqiang Chen, Andi Han, Wei Huang, Taiji Suzuki, Zhiqiang Xu p81549-81605 from Advances in Neural Information Processing Systems 37
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  • On the Complexity of Identification in Linear Structural Causal Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Complexity of Identification in Linear Structural Causal Models

    Markus Bläser, Julian Dörfler, Maciej Liśkiewicz, Benito van der Zander p100108-100130 from Advances in Neural Information Processing Systems 37
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  • On the Complexity of Learning Sparse Functions with Statistical and Gradient Queries

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Complexity of Learning Sparse Functions with Statistical and Gradient Queries

    Nirmit Joshi, Theodor Misiakiewicz, Nathan Srebro p103198-103241 from Advances in Neural Information Processing Systems 37
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  • On the Complexity of Teaching a Family of Linear Behavior Cloning Learners

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Complexity of Teaching a Family of Linear Behavior Cloning Learners

    Shubham Bharti, Adish Singla, Stephen Wright, Jerry Zhu p103945-103965 from Advances in Neural Information Processing Systems 37
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  • On the Computational Complexity of Private High-dimensional Model Selection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Computational Complexity of Private High-dimensional Model Selection

    Saptarshi Roy, Ambuj Tewari, Zehua Wang p36683-36716 from Advances in Neural Information Processing Systems 37
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  • On the Computational Landscape of Replicable Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Computational Landscape of Replicable Learning

    Alkis Kalavasis, Amin Karbasi, Grigoris Velegkas, Felix Zhou p105887-105927 from Advances in Neural Information Processing Systems 37
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  • On the Convergence of Loss and Uncertainty-based Active Learning Algorithms

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Convergence of Loss and Uncertainty-based Active Learning Algorithms

    Daniel Haimovich, Dima Karamshuk, Fridolin Linder, Niek Tax, Milan Vojnović p122770-122810 from Advances in Neural Information Processing Systems 37
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  • On the Curses of Future and History in Future-dependent Value Functions for Off-policy Evaluation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Curses of Future and History in Future-dependent Value Functions for Off-policy Evaluation

    Nan Jiang, Yuheng Zhang p124756-124790 from Advances in Neural Information Processing Systems 37
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  • On the Effects of Data Scale on UI Control Agents

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Effects of Data Scale on UI Control Agents

    William Bishop, Folawiyo Campbell-Ajala, Alice Li, Wei Li, Chris Rawles, Oriana Riva, Divya Tyamagundlu p92130-92154 from Advances in Neural Information Processing Systems 37
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  • On the Efficiency of ERM in Feature Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Efficiency of ERM in Feature Learning

    Murat Erdogdu, Ayoub Hanchi, Chris Maddison p98596-98624 from Advances in Neural Information Processing Systems 37
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  • On the Expressive Power of Tree-Structured Probabilistic Circuits

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Expressive Power of Tree-Structured Probabilistic Circuits

    Lang Yin, Han Zhao p73830-73857 from Advances in Neural Information Processing Systems 37
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  • On the Expressivity and Sample Complexity of Node-Individualized Graph Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Expressivity and Sample Complexity of Node-Individualized Graph Neural Networks

    Karsten Borgwardt, Dexiong Chen, Paolo Pellizzoni, Till Hendrik Schulz p120221-120251 from Advances in Neural Information Processing Systems 37
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