Neural implicit surface learning has shown significant progress in multi...
Pre-trained language models have been shown to encode linguistic structu...
Pre-trained language models can be fine-tuned to solve diverse NLP tasks...
Vertical federated learning (VFL), where data features are stored in mul...
To enable large-scale machine learning in bandwidth-hungry environments ...
Communication efficiency has been widely recognized as the bottleneck fo...
Due to the communication bottleneck in distributed and federated learnin...
Federated Averaging (FedAvg, also known as Local-SGD) (McMahan et al., 2...
In this paper, we study combinatorial pure exploration for dueling bandi...
In this paper, we investigate the non-stationary combinatorial semi-band...
In this paper, we study the non-stationary online second price auction
p...
It has been observed zhang2016understanding that deep neural networks
ca...
In this paper, we study the stochastic version of the one-sided full
inf...
In this paper, we study the stochastic unbounded min-knapsack problem
(M...