Papers
Never Go Full Batch (in Stochastic Convex Optimization)
Idan Amir, Yair Carmon, Tomer Koren et al.
Newton-LESS: Sparsification without Trade-offs for the Sketched Newton Update
Michal Derezinski, Jonathan Lacotte, Mert Pilanci et al.
NN-Baker: A Neural-network Infused Algorithmic Framework for Optimization Problems on Geometric Intersection Graphs
Evan McCarty, Qi Zhao, Anastasios Sidiropoulos et al.
Node Dependent Local Smoothing for Scalable Graph Learning
Wentao Zhang, Mingyu Yang, Zeang Sheng et al.
Noether Networks: meta-learning useful conserved quantities
Ferran Alet, Dylan Doblar, Allan Zhou et al.
Noether’s Learning Dynamics: Role of Symmetry Breaking in Neural Networks
Hidenori Tanaka, Daniel Kunin
No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data
Mi Luo, Fei Chen, Dapeng Hu et al.
Noise2Score: Tweedie’s Approach to Self-Supervised Image Denoising without Clean Images
Kwanyoung Kim, Jong Chul Ye
Noisy Adaptation Generates Lévy Flights in Attractor Neural Networks
Xingsi Dong, Tianhao Chu, Tiejun Huang et al.
Noisy Recurrent Neural Networks
Soon Hoe Lim, N. Benjamin Erichson, Liam Hodgkinson et al.
Non-approximate Inference for Collective Graphical Models on Path Graphs via Discrete Difference of Convex Algorithm
Yasunori Akagi, Naoki Marumo, Hideaki Kim et al.
Non-Asymptotic Analysis for Two Time-scale TDC with General Smooth Function Approximation
Yue Wang, Shaofeng Zou, Yi Zhou
Non-asymptotic convergence bounds for Wasserstein approximation using point clouds
Quentin Mérigot, Filippo Santambrogio, Clément SARRAZIN
Non-asymptotic Error Bounds for Bidirectional GANs
Shiao Liu, Yunfei Yang, Jian Huang et al.
Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis
Jikai Jin, Bohang Zhang, Haiyang Wang et al.
Non-Gaussian Gaussian Processes for Few-Shot Regression
Marcin Sendera, Jacek Tabor, Aleksandra Nowak et al.
Non-local Latent Relation Distillation for Self-Adaptive 3D Human Pose Estimation
Jogendra Nath Kundu, Siddharth Seth, Anirudh Jamkhandi et al.
Nonparametric estimation of continuous DPPs with kernel methods
Michaël Fanuel, Rémi Bardenet
Nonsmooth Implicit Differentiation for Machine-Learning and Optimization
Jérôme Bolte, Tam Le, Edouard Pauwels et al.
Nonuniform Negative Sampling and Log Odds Correction with Rare Events Data
HaiYing Wang, Aonan Zhang, Chong Wang
No-Press Diplomacy from Scratch
Anton Bakhtin, David Wu, Adam Lerer et al.
No-regret Online Learning over Riemannian Manifolds
Xi Wang, Zhipeng Tu, Yiguang Hong et al.
No Regrets for Learning the Prior in Bandits
Soumya Basu, Branislav Kveton, Manzil Zaheer et al.
NORESQA: A Framework for Speech Quality Assessment using Non-Matching References
Pranay Manocha, Buye Xu, Anurag Kumar
No RL, No Simulation: Learning to Navigate without Navigating
Meera Hahn, Devendra Singh Chaplot, Shubham Tulsiani et al.