Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks

    Arjun Subramonian, Jian Kang, Yizhou Sun p8193-8239 from Advances in Neural Information Processing Systems 37
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  • Theoretical and Practical Perspectives on what Influence Functions Do

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Theoretical and Practical Perspectives on what Influence Functions Do

    Andrea Schioppa, Katja Filippova, Ivan Titov, Polina Zablotskaia p27560-27581 from Advances in Neural Information Processing Systems 36
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  • Theoretical Characterisation of the Gauss Newton Conditioning in Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Theoretical Characterisation of the Gauss Newton Conditioning in Neural Networks

    Jim Zhao, Sidak Pal Singh, Aurelien Lucchi p114965-115000 from Advances in Neural Information Processing Systems 37
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  • Theoretical Foundations of Deep Selective State-Space Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Theoretical Foundations of Deep Selective State-Space Models

    Nicola Muca Cirone, Antonio Orvieto, Benjamin Walker, Cristopher Salvi, Terry Lyons p127226-127272 from Advances in Neural Information Processing Systems 37
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  • Theoretical guarantees in KL for Diffusion Flow Matching

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Theoretical guarantees in KL for Diffusion Flow Matching

    Marta Silveri, Giovanni Conforti, Alain Durmus p138432-138473 from Advances in Neural Information Processing Systems 37
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  • Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Theoretical Investigations and Practical Enhancements on Tail Task Risk Minimization in Meta Learning

    Yiqin Lv, Qi Wang, Dong Liang, Zheng Xie p82921-82961 from Advances in Neural Information Processing Systems 37
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  • Theoretically Better and Numerically Faster Distributed Optimization with Smoothness-Aware Quantization Techniques

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Theoretically Better and Numerically Faster Distributed Optimization with Smoothness-Aware Quantization Techniques

    Bokun Wang, Mher Safaryan, Peter Richtarik p9841-9852 from Advances in Neural Information Processing Systems 35
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  • Theoretically Guaranteed Bidirectional Data Rectification for Robust Sequential Recommendation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Theoretically Guaranteed Bidirectional Data Rectification for Robust Sequential Recommendation

    Yatong Sun, Bin Wang, Zhu Sun, Xiaochun Yang, Yan Wang p2850-2876 from Advances in Neural Information Processing Systems 36
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  • Theoretically Provable Spiking Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Theoretically Provable Spiking Neural Networks

    Shao-Qun Zhang, Zhi-Hua Zhou p19345-19356 from Advances in Neural Information Processing Systems 35
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  • Theory and Approximate Solvers for Branched Optimal Transport with Multiple Sources

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Theory and Approximate Solvers for Branched Optimal Transport with Multiple Sources

    Peter Lippmann, Enrique Fita Sanmartín, Fred Hamprecht p267-279 from Advances in Neural Information Processing Systems 35
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  • Theseus: A Library for Differentiable Nonlinear Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Theseus: A Library for Differentiable Nonlinear Optimization

    Luis Pineda, Taosha Fan, Maurizio Monge, Shobha Venkataraman, Paloma Sodhi, Ricky T. Q. Chen, Joseph Ortiz, Daniel Detone, Austin Wang, Stuart Anderson, Jing Dong, Brandon Amos, Mustafa Mukadam p3801-3818 from Advances in Neural Information Processing Systems 35
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  • Thin and deep Gaussian processes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Thin and deep Gaussian processes

    Daniel Augusto De Souza, Alexander Nikitin, St John, Magnus Ross, Mauricio A Álvarez, Marc Deisenroth, João Paulo Gomes, Diego Mesquita, César Lincoln Mattos p13138-13148 from Advances in Neural Information Processing Systems 36
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  • Thinker: Learning to Plan and Act

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Thinker: Learning to Plan and Act

    Stephen Chung, Ivan Anokhin, David Krueger p22896-22933 from Advances in Neural Information Processing Systems 36
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  • Thinking Forward: Memory-Efficient Federated Finetuning of Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Thinking Forward: Memory-Efficient Federated Finetuning of Language Models

    Kunjal Panchal, Nisarg Parikh, Sunav Choudhary, Lijun Zhang, Yuriy Brun, Hui Guan p69069-69119 from Advances in Neural Information Processing Systems 37
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  • Thinking Outside the Ball: Optimal Learning with Gradient Descent for Generalized Linear Stochastic Convex Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Thinking Outside the Ball: Optimal Learning with Gradient Descent for Generalized Linear Stochastic Convex Optimization

    Idan Amir, Roi Livni, Nati Srebro p23539-23550 from Advances in Neural Information Processing Systems 35
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  • Thinned Random Measures for Sparse Graphs with Overlapping Communities

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Thinned Random Measures for Sparse Graphs with Overlapping Communities

    Federica Zoe Ricci, Michele Guindani, Erik Sudderth p38162-38175 from Advances in Neural Information Processing Systems 35
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  • This is the Way: Designing and Compiling LEPISZCZE, a Comprehensive NLP Benchmark for Polish

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    This is the Way: Designing and Compiling LEPISZCZE, a Comprehensive NLP Benchmark for Polish

    Lukasz Augustyniak, Kamil Tagowski, Albert Sawczyn, Denis Janiak, Roman Bartusiak, Adrian Szymczak, Arkadiusz Janz, Piotr Szymanski, Marcin Watroba, Mikolaj Morzy, Tomasz Kajdanowicz, Maciej Piasecki p21805-21818 from Advances in Neural Information Processing Systems 35
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  • This Looks Like Those: Illuminating Prototypical Concepts Using Multiple Visualizations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    This Looks Like Those: Illuminating Prototypical Concepts Using Multiple Visualizations

    Chiyu Ma, Brandon Zhao, Chaofan Chen, Cynthia Rudin p39212-39235 from Advances in Neural Information Processing Systems 36
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  • This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian Optimization

    Anthony Bardou, Patrick Thiran, Giovanni Ranieri p42696-42737 from Advances in Neural Information Processing Systems 37
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  • Thompson Sampling Efficiently Learns to Control Diffusion Processes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Thompson Sampling Efficiently Learns to Control Diffusion Processes

    Mohamad Kazem Shirani Faradonbeh, Mohamad Sadegh Shirani Faradonbeh, Mohsen Bayati p3871-3884 from Advances in Neural Information Processing Systems 35
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  • Thompson Sampling For Combinatorial Bandits: Polynomial Regret and Mismatched Sampling Paradox

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Thompson Sampling For Combinatorial Bandits: Polynomial Regret and Mismatched Sampling Paradox

    Raymond Zhang, Richard Combes p89437-89467 from Advances in Neural Information Processing Systems 37
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  • Thor: Wielding Hammers to Integrate Language Models and Automated Theorem Provers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Thor: Wielding Hammers to Integrate Language Models and Automated Theorem Provers

    Albert Qiaochu Jiang, Wenda Li, Szymon Tworkowski, Konrad Czechowski, Tomasz Odrzygózdz, Piotr Milos, Yuhuai Wu, Mateja Jamnik p8360-8373 from Advances in Neural Information Processing Systems 35
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  • Thought Cloning: Learning to Think while Acting by Imitating Human Thinking

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Thought Cloning: Learning to Think while Acting by Imitating Human Thinking

    Shengran Hu, Jeff Clune p44451-44469 from Advances in Neural Information Processing Systems 36
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  • Thought of Search: Planning with Language Models Through The Lens of Efficiency

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Thought of Search: Planning with Language Models Through The Lens of Efficiency

    Michael Katz, Harsha Kokel, Kavitha Srinivas, Shirin Sohrabi p138491-138568 from Advances in Neural Information Processing Systems 37
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