Papers
Multi-Precision Policy Enforced Training (MuPPET) : A Precision-Switching Strategy for Quantised Fixed-Point Training of CNNs
Aditya Rajagopal, Diederik Vink, Stylianos Venieris et al.
Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis
Jung Yeon Park, Kenneth Carr, Stephan Zheng et al.
Multi-step Greedy Reinforcement Learning Algorithms
Manan Tomar, Yonathan Efroni, Mohammad Ghavamzadeh
Multi-Task Learning with User Preferences: Gradient Descent with Controlled Ascent in Pareto Optimization
Debabrata Mahapatra, Vaibhav Rajan
Mutual Transfer Learning for Massive Data
Ching-Wei Cheng, Xingye Qiao, Guang Cheng
My Fair Bandit: Distributed Learning of Max-Min Fairness with Multi-player Bandits
Ilai Bistritz, Tavor Baharav, Amir Leshem et al.
NADS: Neural Architecture Distribution Search for Uncertainty Awareness
Randy Ardywibowo, Shahin Boluki, Xinyu Gong et al.
Naive Exploration is Optimal for Online LQR
Max Simchowitz, Dylan Foster
Near Input Sparsity Time Kernel Embeddings via Adaptive Sampling
David Woodruff, Amir Zandieh
Near-linear time Gaussian process optimization with adaptive batching and resparsification
Daniele Calandriello, Luigi Carratino, Alessandro Lazaric et al.
Nearly Linear Row Sampling Algorithm for Quantile Regression
Yi Li, Ruosong Wang, Lin Yang et al.
Near-optimal Regret Bounds for Stochastic Shortest Path
Aviv Rosenberg, Alon Cohen, Yishay Mansour et al.
Near-optimal sample complexity bounds for learning Latent $k-$polytopes and applications to Ad-Mixtures
Chiranjib Bhattacharyya, Ravindran Kannan
Near-Tight Margin-Based Generalization Bounds for Support Vector Machines
Allan Grønlund, Lior Kamma, Kasper Green Larsen
Negative Sampling in Semi-Supervised learning
John Chen, Vatsal Shah, Anastasios Kyrillidis
Nested Subspace Arrangement for Representation of Relational Data
Nozomi Hata, Shizuo Kaji, Akihiro Yoshida et al.
NetGAN without GAN: From Random Walks to Low-Rank Approximations
Luca Rendsburg, Holger Heidrich, Ulrike Von Luxburg
Neural Architecture Search in A Proxy Validation Loss Landscape
Yanxi Li, Minjing Dong, Yunhe Wang et al.
Neural Clustering Processes
Ari Pakman, Yueqi Wang, Catalin Mitelut et al.
Neural Contextual Bandits with UCB-based Exploration
Dongruo Zhou, Lihong Li, Quanquan Gu
Neural Datalog Through Time: Informed Temporal Modeling via Logical Specification
Hongyuan Mei, Guanghui Qin, Minjie Xu et al.
Neural Kernels Without Tangents
Vaishaal Shankar, Alex Fang, Wenshuo Guo et al.
Neural Network Control Policy Verification With Persistent Adversarial Perturbation
Yuh-Shyang Wang, Lily Weng, Luca Daniel
Neural Topic Modeling with Continual Lifelong Learning
Pankaj Gupta, Yatin Chaudhary, Thomas Runkler et al.