Papers
Throughput-Optimal Topology Design for Cross-Silo Federated Learning
Othmane MARFOQ, CHUAN XU, Giovanni Neglia et al.
Online Learning in Contextual Bandits using Gated Linear Networks
Eren Sezener, Marcus Hutter, David Budden et al.
Dual-Free Stochastic Decentralized Optimization with Variance Reduction
Hadrien Hendrikx, Francis R. Bach, Laurent Massoulié
Untangling tradeoffs between recurrence and self-attention in artificial neural networks
Giancarlo Kerg, Bhargav Kanuparthi, Anirudh Goyal ALIAS PARTH GOYAL et al.
Neural Networks with Small Weights and Depth-Separation Barriers
Gal Vardi, Ohad Shamir
TaylorGAN: Neighbor-Augmented Policy Update Towards Sample-Efficient Natural Language Generation
Chun-Hsing Lin, Siang-Ruei Wu, Hung-yi Lee et al.
A new convergent variant of Q-learning with linear function approximation
Diogo Carvalho, Francisco S. Melo, Pedro Santos
Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement
Xin Liu, Josh Fromm, Shwetak Patel et al.
Near-Optimal Comparison Based Clustering
Michaël Perrot, Pascal Esser, Debarghya Ghoshdastidar
Effective Dimension Adaptive Sketching Methods for Faster Regularized Least-Squares Optimization
Jonathan Lacotte, Mert Pilanci
Self-Adaptive Training: beyond Empirical Risk Minimization
Lang Huang, Chao Zhang, Hongyang Zhang
Model Rubik’s Cube: Twisting Resolution, Depth and Width for TinyNets
Kai Han, Yunhe Wang, Qiulin Zhang et al.
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems
Nimit Sohoni, Jared Dunnmon, Geoffrey Angus et al.
COPT: Coordinated Optimal Transport on Graphs
Yihe Dong, Will Sawin
Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings
Yu Chen, Lingfei Wu, Mohammed Zaki
Provably Robust Metric Learning
Lu Wang, Xuanqing Liu, Jinfeng Yi et al.
Rethinking the Value of Labels for Improving Class-Imbalanced Learning
Yuzhe Yang, Zhi Xu
Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift
Remi Tachet des Combes, Han Zhao, Yu-Xiang Wang et al.
Weakly Supervised Deep Functional Maps for Shape Matching
Abhishek Sharma, Maks Ovsjanikov
BayReL: Bayesian Relational Learning for Multi-omics Data Integration
Ehsan Hajiramezanali, Arman Hasanzadeh, Nick Duffield et al.
Online Bayesian Goal Inference for Boundedly Rational Planning Agents
Tan Zhi-Xuan, Jordyn Mann, Tom Silver et al.
Transferable Calibration with Lower Bias and Variance in Domain Adaptation
Ximei Wang, Mingsheng Long, Jianmin Wang et al.
Linear-Sample Learning of Low-Rank Distributions
Ayush Jain, Alon Orlitsky
Semialgebraic Optimization for Lipschitz Constants of ReLU Networks
Tong Chen, Jean B Lasserre, Victor Magron et al.