NeurIPS 2020: all accepted papers
- Compact task representations as a normative model for higher-order brain activity ↗Severin Berger, Christian K. Machens
- Deep Diffusion-Invariant Wasserstein Distributional Classification ↗Sungwoo Park, Dong Shu, Junseok Kwon
- Generalized Boosting ↗Arun Sai Suggala, Bingbin Liu, Pradeep Ravikumar
- Identifying the Causal Effects of Cross-World Policies ↗Noah Weber, Levi Boyles, Shuayb Zarar
- Lamina-specific neuronal properties promote robust, stable signal propagation in feedforward networks ↗Dongqi Han, Erik De Schutter, Sungho Hong
- Myersonian Regression ↗Allen Liu, Renato Paes Leme, Jon Schneider
- Neuronal Gaussian Process Regression ↗Johannes H. Friedrich
- Provably Efficient Neural GTD for Off-Policy Learning ↗Hoi-To Wai, Zhuoran Yang, Zhaoran Wang et al.
- Second Order Optimality in Decentralized Non-Convex Optimization via Perturbed Gradient Tracking ↗Isidoros Tziotis, Constantine Caramanis, Aryan Mokhtari
- Statistical Guarantees of Distributed Nearest Neighbor Classification ↗Jiexin Duan, Xingye Qiao, Guang Cheng
- The Adaptive Complexity of Maximizing a Gross Substitutes Valuation ↗Ron Kupfer, Sharon Qian, Eric Balkanski et al.
- The Potts-Ising model for discrete multivariate data. ↗Zahra S. Razaee, Arash A. Amini
- Thunder: a Fast Coordinate Selection Solver for Sparse Learning ↗Shaogang Ren, Weijie Zhao, Ping Li
- Tight First- and Second-Order Regret Bounds for Adversarial Linear Bandits ↗Shinji Ito, Shuichi Hirahara, Tasuku Soma et al.
- Universal Function Approximation on Graphs ↗Rickard Brüel Gabrielsson
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