Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • The Equivalence of Dynamic and Strategic Stability under Regularized Learning in Games

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Equivalence of Dynamic and Strategic Stability under Regularized Learning in Games

    Victor Boone, Panayotis Mertikopoulos p78533-78557 from Advances in Neural Information Processing Systems 36
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  • The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains

    Benjamin Edelman, Ezra Edelman, Surbhi Goel, Eran Malach, Nikolaos Tsilivis p64273-64311 from Advances in Neural Information Processing Systems 37
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  • The Exact Sample Complexity Gain from Invariances for Kernel Regression

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Exact Sample Complexity Gain from Invariances for Kernel Regression

    Stefanie Jegelka, Behrooz Tahmasebi p55616-55646 from Advances in Neural Information Processing Systems 36
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  • The Expressive Capacity of State Space Models: A Formal Language Perspective

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Expressive Capacity of State Space Models: A Formal Language Perspective

    Michael Hahn, Yash Sarrof, Yana Veitsman p41202-41241 from Advances in Neural Information Processing Systems 37
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  • The expressive power of pooling in Graph Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The expressive power of pooling in Graph Neural Networks

    Filippo Maria Bianchi, Veronica Lachi p71603-71618 from Advances in Neural Information Processing Systems 36
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  • The Factorization Curse: Which Tokens You Predict Underlie the Reversal Curse and More

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Factorization Curse: Which Tokens You Predict Underlie the Reversal Curse and More

    Diane Bouchacourt, Mark Ibrahim, Ouail Kitouni, Niklas Nolte, Mike Rabbat, Adina Williams p112329-112355 from Advances in Neural Information Processing Systems 37
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  • The Fairness-Quality Tradeoff in Clustering

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Fairness-Quality Tradeoff in Clustering

    Rashida Hakim, Christos Papadimitriou, Ana-Andreea Stoica, Mihalis Yannakakis p117509-117542 from Advances in Neural Information Processing Systems 37
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  • The Feature Speed Formula: a flexible approach to scale hyper-parameters of deep neural networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Feature Speed Formula: a flexible approach to scale hyper-parameters of deep neural networks

    Lénaïc Chizat, Praneeth Netrapalli p62362-62383 from Advances in Neural Information Processing Systems 37
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  • The Fine-Grained Complexity of Gradient Computation for Training Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Fine-Grained Complexity of Gradient Computation for Training Large Language Models

    Josh Alman, Zhao Song p61419-61454 from Advances in Neural Information Processing Systems 37
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  • The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale

    Loubna allal, Hynek Kydlíček, Anton Lozhkov, Margaret Mitchell, Guilherme Penedo, Colin Raffel, Leandro Von Werra, Thomas Wolf p30811-30849 from Advances in Neural Information Processing Systems 37
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  • The First Optimal Acceleration of High-Order Methods in Smooth Convex Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The First Optimal Acceleration of High-Order Methods in Smooth Convex Optimization

    Alexander Gasnikov, Dmitry Kovalev p35339-35351 from Advances in Neural Information Processing Systems 35
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  • The First Optimal Algorithm for Smooth and Strongly-Convex-Strongly-Concave Minimax Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The First Optimal Algorithm for Smooth and Strongly-Convex-Strongly-Concave Minimax Optimization

    Alexander Gasnikov, Dmitry Kovalev p14691-14703 from Advances in Neural Information Processing Systems 35
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  • The Fragility of Fairness: Causal Sensitivity Analysis for Fair Machine Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Fragility of Fairness: Causal Sensitivity Analysis for Fair Machine Learning

    Mel Andrews, Jake Fawkes, Nic Fishman, Zachary Lipton p137105-137134 from Advances in Neural Information Processing Systems 37
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  • The Franz-Parisi Criterion and Computational Trade-Offs in High Dimensional Statistics

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Franz-Parisi Criterion and Computational Trade-Offs in High Dimensional Statistics

    Afonso S Bandeira, Ahmed El Alaoui, Samuel Hopkins, Tselil Schramm, Alexander S Wein, Ilias Zadik p33831-33844 from Advances in Neural Information Processing Systems 35
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  • The Gain from Ordering in Online Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Gain from Ordering in Online Learning

    Vasilis Kontonis, Mingchen Ma, Christos Tzamos p63894-63906 from Advances in Neural Information Processing Systems 36
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  • The GAN is dead; long live the GAN! A Modern GAN Baseline

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The GAN is dead; long live the GAN! A Modern GAN Baseline

    Aaron Gokaslan, Yiwen Huang, Volodymyr Kuleshov, James Tompkin p44177-44215 from Advances in Neural Information Processing Systems 37
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  • The geometry of hidden representations of large transformer models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The geometry of hidden representations of large transformer models

    Alessio Ansuini, Alberto Cazzaniga, Francesca Cuturello, Diego Doimo, Alessandro Laio, Lucrezia Valeriani p51234-51252 from Advances in Neural Information Processing Systems 36
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  • The Geometry of Neural Nets' Parameter Spaces Under Reparametrization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Geometry of Neural Nets' Parameter Spaces Under Reparametrization

    Felix Dangel, Philipp Hennig, Agustinus Kristiadi p17669-17688 from Advances in Neural Information Processing Systems 36
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  • The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMs

    Stella Biderman, Edward Grefenstette, Sara Hooker, Akbir Khan, Tim Rocktäschel, Laura Ruis p20827-20905 from Advances in Neural Information Processing Systems 36
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  • The Grand Illusion: The Myth of Software Portability and Implications for ML Progress.

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Grand Illusion: The Myth of Software Portability and Implications for ML Progress.

    Dzung Dinh, Sara Hooker, Jonas Kgomo, Fraser Mince, Neil Thompson p21217-21229 from Advances in Neural Information Processing Systems 36
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  • The Graph Pencil Method: Mapping Subgraph Densities to Stochastic Block Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Graph Pencil Method: Mapping Subgraph Densities to Stochastic Block Models

    Gecia Bravo-Hermsdorff, Lee Gunderson, Peter Orbanz p79583-79593 from Advances in Neural Information Processing Systems 36
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  • The Group Robustness is in the Details: Revisiting Finetuning under Spurious Correlations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Group Robustness is in the Details: Revisiting Finetuning under Spurious Correlations

    John Hill, Abhishek Kumar, Tyler LaBonte, Vidya Muthukumar, Xinchen Zhang p121598-121629 from Advances in Neural Information Processing Systems 37
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  • The Gyro-Structure of Some Matrix Manifolds

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Gyro-Structure of Some Matrix Manifolds

    Xuan Son Nguyen p26618-26630 from Advances in Neural Information Processing Systems 35
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  • The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications

    Scott D Kominers, Luke Melas-Kyriazi, Suproteem Sarkar, Stuart Shieber, Mirac Suzgun p57908-57946 from Advances in Neural Information Processing Systems 36
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