Papers
Near-Optimal Lower Bounds For Convex Optimization For All Orders of Smoothness
Ankit Garg, Robin Kothari, Praneeth Netrapalli et al.
Near-Optimal Multi-Perturbation Experimental Design for Causal Structure Learning
Scott Sussex, Caroline Uhler, Andreas Krause
Near-Optimal No-Regret Learning in General Games
Constantinos Daskalakis, Maxwell Fishelson, Noah Golowich
Near-optimal Offline and Streaming Algorithms for Learning Non-Linear Dynamical Systems
Suhas Kowshik, Dheeraj Nagaraj, Prateek Jain et al.
Near-Optimal Offline Reinforcement Learning via Double Variance Reduction
Ming Yin, Yu Bai, Yu-Xiang Wang
Near Optimal Policy Optimization via REPS
Aldo Pacchiano, Jonathan N Lee, Peter L. Bartlett et al.
Neighborhood Reconstructing Autoencoders
Yonghyeon LEE, Hyeokjun Kwon, Frank Park
Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction
Seongjun Yun, Seoyoon Kim, Junhyun Lee et al.
NEO: Non Equilibrium Sampling on the Orbits of a Deterministic Transform
Achille Thin, Yazid Janati El Idrissi, Sylvain Le Corff et al.
NeRS: Neural Reflectance Surfaces for Sparse-view 3D Reconstruction in the Wild
Jason Zhang, Gengshan Yang, Shubham Tulsiani et al.
NeRV: Neural Representations for Videos
Hao Chen, Bo He, Hanyu Wang et al.
Nested Counterfactual Identification from Arbitrary Surrogate Experiments
Juan Correa, Sanghack Lee, Elias Bareinboim
Nested Graph Neural Networks
Muhan Zhang, Pan Li
Nested Variational Inference
Heiko Zimmermann, Hao Wu, Babak Esmaeili et al.
Network-to-Network Regularization: Enforcing Occam's Razor to Improve Generalization
Rohan Ghosh, Mehul Motani
Neural Active Learning with Performance Guarantees
Zhilei Wang, Pranjal Awasthi, Christoph Dann et al.
Neural Additive Models: Interpretable Machine Learning with Neural Nets
Rishabh Agarwal, Levi Melnick, Nicholas Frosst et al.
Neural Algorithmic Reasoners are Implicit Planners
Andreea-Ioana Deac, Petar Veličković, Ognjen Milinkovic et al.
Neural Analysis and Synthesis: Reconstructing Speech from Self-Supervised Representations
Hyeong-Seok Choi, Juheon Lee, Wansoo Kim et al.
Neural Architecture Dilation for Adversarial Robustness
Yanxi Li, Zhaohui Yang, Yunhe Wang et al.
Neural Auto-Curricula in Two-Player Zero-Sum Games
Xidong Feng, Oliver Slumbers, Ziyu Wan et al.
Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction
Zhaocheng Zhu, Zuobai Zhang, Louis-Pascal Xhonneux et al.
Neural Bootstrapper
Minsuk Shin, Hyungjoo Cho, Hyun-seok Min et al.
Neural Circuit Synthesis from Specification Patterns
Frederik Schmitt, Christopher Hahn, Markus N Rabe et al.