Paper

  • On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-Smoothness and Beyond

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-Smoothness and Beyond

    Ping Li, Xiaotong Yuan p10752-10765 from Advances in Neural Information Processing Systems 35
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  • On Convergence of Polynomial Approximations to the Gaussian Mixture Entropy

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On Convergence of Polynomial Approximations to the Gaussian Mixture Entropy

    Caleb Dahlke, Jason Pacheco p75469-75490 from Advances in Neural Information Processing Systems 36
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  • On Deep Generative Models for Approximation and Estimation of Distributions on Manifolds

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On Deep Generative Models for Approximation and Estimation of Distributions on Manifolds

    Minshuo Chen, Biraj Dahal, Alexander Havrilla, Wenjing Liao, Tuo Zhao p10615-10628 from Advances in Neural Information Processing Systems 35
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  • On Differentially Private Sampling from Gaussian and Product Distributions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On Differentially Private Sampling from Gaussian and Product Distributions

    Badih Ghazi, Xiao Hu, Ravi Kumar, Pasin Manurangsi p77783-77809 from Advances in Neural Information Processing Systems 36
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  • On Differentially Private Subspace Estimation in a Distribution-Free Setting

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On Differentially Private Subspace Estimation in a Distribution-Free Setting

    Eliad Tsfadia p39923-39962 from Advances in Neural Information Processing Systems 37
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  • On Differentially Private U Statistics

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On Differentially Private U Statistics

    Kamalika Chaudhuri, Po-Ling Loh, Shourya Pandey, Purnamrita Sarkar p23078-23122 from Advances in Neural Information Processing Systems 37
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  • On Divergence Measures for Bayesian Pseudocoresets

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On Divergence Measures for Bayesian Pseudocoresets

    Jungwon Choi, Jung-Woo Ha, Balhae Kim, Juho Lee, Seanie Lee, Yoonho Lee p757-767 from Advances in Neural Information Processing Systems 35
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  • On Divergence Measures for Training GFlowNets

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On Divergence Measures for Training GFlowNets

    Eliezer da Silva, Tiago da Silva, Diego Mesquita p75883-75913 from Advances in Neural Information Processing Systems 37
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  • On Dynamic Programming Decompositions of Static Risk Measures in Markov Decision Processes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On Dynamic Programming Decompositions of Static Risk Measures in Markov Decision Processes

    Erick Delage, Mohammad Ghavamzadeh, Jia Lin Hau, Marek Petrik p51734-51757 from Advances in Neural Information Processing Systems 36
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  • On Efficient Online Imitation Learning Via Classification

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On Efficient Online Imitation Learning Via Classification

    Yichen Li, Chicheng Zhang p32383-32397 from Advances in Neural Information Processing Systems 35
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  • On Elimination Strategies for Bandit Fixed-Confidence Identification

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On Elimination Strategies for Bandit Fixed-Confidence Identification

    Rémy Degenne, Andrea Tirinzoni p18586-18598 from Advances in Neural Information Processing Systems 35
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  • On Embeddings for Numerical Features in Tabular Deep Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On Embeddings for Numerical Features in Tabular Deep Learning

    Artem Babenko, Yury Gorishniy, Ivan Rubachev p24991-25004 from Advances in Neural Information Processing Systems 35
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