Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Optimal Weak to Strong Learning

Kasper Green Larsen, Martin Ritzert p32830-32841 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Optimal-Er Auctions Through Attention

Ksenia Balabaeva, Igor Filippov, Dmitry Ivanov, Iskander Safiulin p34734-34747 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Optimal-state Dynamics Estimation for Physics-based Human Motion Capture from Videos

Viktor Johansson, Manon Kok, Cuong Le, Bastian Wandt p43609-43631 from Advances in Neural Information Processing Systems 37

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$Optimality in Mean Estimation: Beyond Worst-Case, Beyond Sub-Gaussian, and Beyond $1+\alpha$ Moments$

Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Optimality in Mean Estimation: Beyond Worst-Case, Beyond Sub-Gaussian, and Beyond $1+\alpha$ Moments

Trung Dang, Jasper Lee, Maoyuan 'Raymond' Song, Paul Valiant p4150-4176 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Optimality of Message-Passing Architectures for Sparse Graphs

Aseem Baranwal, Kimon Fountoulakis, Aukosh Jagannath p40320-40341 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Optimistic Active Exploration of Dynamical Systems

Bhavya , Sebastian Blaes, Stelian Coros, Andreas Krause, Cansu Sancaktar, Lenart Treven p38122-38153 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Optimistic Critic Reconstruction and Constrained Fine-Tuning for General Offline-to-Online RL

Sheng-Jun Huang, Qin-Wen Luo, Ye-Wen Wang, Ming-Kun Xie p108167-108207 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Optimistic Exploration in Reinforcement Learning Using Symbolic Model Estimates

Michael Katz, Sarath Sreedharan p34519-34535 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Optimistic Meta-Gradients

Sebastian Flennerhag, András György, Brendan O'Donoghue, Satinder Singh, Hado Van Hasselt, Tom Zahavy p57852-57862 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Optimistic Mirror Descent Either Converges to Nash Or to Strong Coarse Correlated Equilibria in Bimatrix Games

Ioannis Anagnostides, Gabriele Farina, Ioannis Panageas, Tuomas Sandholm p16439-16454 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Optimistic Natural Policy Gradient: a Simple Efficient Policy Optimization Framework for Online RL

András György, Chi Jin, Qinghua Liu, Csaba Szepesvari, Gellert Weisz p3560-3577 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Optimistic Posterior Sampling for Reinforcement Learning with Few Samples and Tight Guarantees

Denis Belomestny, Daniele Calandriello, Pierre Ménard, Eric Moulines, Remi Munos, Alexey Naumov, Mark Rowland, Daniil Tiapkin, Michal Valko p10737-10751 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Optimistic Rates for Multi-Task Representation Learning

Raman Arora, Thanh Nguyen-Tang, Enayat Ullah, Austin Watkins p2207-2251 from Advances in Neural Information Processing Systems 36

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Optimistic Tree Searches for Combinatorial Black-Box Optimization

Haitham Bou Ammar, Antoine Grosnit, Cedric Malherbe, Rasul Tutunov, Jun Wang p33080-33092 from Advances in Neural Information Processing Systems 35

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Optimistic Verifiable Training by Controlling Hardware Nondeterminism

Simran Arora, Dan Boneh, Megha Srivastava p95639-95661 from Advances in Neural Information Processing Systems 37

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Optimization Algorithm Design via Electric Circuits

Stephen Boyd, Tetiana Parshakova, Ernest Ryu, Jaewook Suh p68013-68081 from Advances in Neural Information Processing Systems 37

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Optimization and Bayes: A Trade-off for Overparameterized Neural Networks

Zhengmian Hu, Heng Huang p13492-13517 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Optimization Can Learn Johnson Lindenstrauss Embeddings

Constantine Caramanis, Nikos Tsikouras, Christos Tzamos p64828-64864 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Optimization of Inter-group criteria for clustering with minimum size constraints

Eduardo Laber, Lucas Murtinho p10339-10358 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Optimization or Architecture: How to Hack Kalman Filtering

Ido Greenberg, Shie Mannor, Netanel Yannay p50482-50505 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Optimize Planning Heuristics to Rank, not to Estimate Cost-to-Goal

Leah Chrestien, Stefan Edelkamp, Antonin Komenda, Tomas Pevny p25508-25527 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Optimized Covariance Design for AB Test on Social Network under Interference

Qianyi Chen, Lu Deng, Bo Li, Yong Wang p37448-37471 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning

Jaehyung Kim, Kyuyoung Kim, Jaehyun Nam, Seunghyuk Oh, Jinwoo Shin, Jihoon Tack p92352-92380 from Advances in Neural Information Processing Systems 37

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Optimizing Automatic Differentiation with Deep Reinforcement Learning

Jamie Lohoff, Emre Neftci p3611-3648 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Optimal Weak to Strong Learning

Optimal-Er Auctions Through Attention

Optimal-state Dynamics Estimation for Physics-based Human Motion Capture from Videos

Optimality in Mean Estimation: Beyond Worst-Case, Beyond Sub-Gaussian, and Beyond $1+\alpha$ Moments

Optimality of Message-Passing Architectures for Sparse Graphs

Optimistic Active Exploration of Dynamical Systems

Optimistic Critic Reconstruction and Constrained Fine-Tuning for General Offline-to-Online RL

Optimistic Exploration in Reinforcement Learning Using Symbolic Model Estimates

Optimistic Meta-Gradients

Optimistic Mirror Descent Either Converges to Nash Or to Strong Coarse Correlated Equilibria in Bimatrix Games

Optimistic Natural Policy Gradient: a Simple Efficient Policy Optimization Framework for Online RL

Optimistic Posterior Sampling for Reinforcement Learning with Few Samples and Tight Guarantees

Optimistic Rates for Multi-Task Representation Learning

Optimistic Tree Searches for Combinatorial Black-Box Optimization

Optimistic Verifiable Training by Controlling Hardware Nondeterminism

Optimization Algorithm Design via Electric Circuits

Optimization and Bayes: A Trade-off for Overparameterized Neural Networks

Optimization Can Learn Johnson Lindenstrauss Embeddings

Optimization of Inter-group criteria for clustering with minimum size constraints

Optimization or Architecture: How to Hack Kalman Filtering

Optimize Planning Heuristics to Rank, not to Estimate Cost-to-Goal

Optimized Covariance Design for AB Test on Social Network under Interference

Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning

Optimizing Automatic Differentiation with Deep Reinforcement Learning

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