Papers
Online Platforms and the Fair Exposure Problem under Homophily
Jakob Schoeffer, Alexander Ritchie, Keziah Naggita et al.
Online Random Feature Forests for Learning in Varying Feature Spaces
Christian Schreckenberger, Yi He, Stefan Lüdtke et al.
Online Reinforcement Learning with Uncertain Episode Lengths
Debmalya Mandal, Goran Radanovic, Jiarui Gan et al.
Online Semi-supervised Learning with Mix-Typed Streaming Features
Di Wu, Shengda Zhuo, Yu Wang et al.
Online Symbolic Regression with Informative Query
Pengwei Jin, Di Huang, Rui Zhang et al.
Online Tuning for Offline Decentralized Multi-Agent Reinforcement Learning
Jiechuan Jiang, Zongqing Lu
Only a Few Classes Confusing: Pixel-Wise Candidate Labels Disambiguation for Foggy Scene Understanding
Liang Liao, Wenyi Chen, Zhen Zhang et al.
On Manipulating Weight Predictions in Signed Weighted Networks
Tomasz Lizurej, Tomasz Michalak, Stefan Dziembowski
On Solution Functions of Optimization: Universal Approximation and Covering Number Bounds
Ming Jin, Vanshaj Khattar, Harshal Kaushik et al.
On the Calibration and Uncertainty with Pólya-Gamma Augmentation for Dialog Retrieval Models
Tong Ye, Shijing Si, Jianzong Wang et al.
On the Challenges of Using Reinforcement Learning in Precision Drug Dosing: Delay and Prolongedness of Action Effects
Sumana Basu, Marc-André Legault, Adriana Romero-Soriano et al.
On the Complexity of PAC Learning in Hilbert Spaces
Sergei Chubanov
On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization
Shiji Xin, Yifei Wang, Jingtong Su et al.
On the Cost of Demographic Parity in Influence Maximization
Ruben Becker, Gianlorenzo D'Angelo, Sajjad Ghobadi
On the Effectiveness of Curriculum Learning in Educational Text Scoring
Zijie Zeng, Dragan Gasevic, Guangliang Chen
On the Effectiveness of Parameter-Efficient Fine-Tuning
Zihao Fu, Haoran Yang, Anthony Man-Cho So et al.
On the Expressive Flexibility of Self-Attention Matrices
Valerii Likhosherstov, Krzysztof Choromanski, Adrian Weller
On the Sample Complexity of Representation Learning in Multi-Task Bandits with Global and Local Structure
Alessio Russo, Alexandre Proutiere
On the Sample Complexity of Vanilla Model-Based Offline Reinforcement Learning with Dependent Samples
Mustafa O. Karabag, Ufuk Topcu
On the Stability and Generalization of Triplet Learning
Jun Chen, Hong Chen, Xue Jiang et al.
On the Vulnerability of Backdoor Defenses for Federated Learning
Pei Fang, Jinghui Chen
On Total-Order HTN Plan Verification with Method Preconditions – An Extension of the CYK Parsing Algorithm
Songtuan Lin, Gregor Behnke, Simona Ondrčková et al.
On Undisputed Sets in Abstract Argumentation
Matthias Thimm
Open-Ended Diverse Solution Discovery with Regulated Behavior Patterns for Cross-Domain Adaptation
Kang Xu, Yan Ma, Bingsheng Wei et al.
OpenMapFlow: A Library for Rapid Map Creation with Machine Learning and Remote Sensing Data
Ivan Zvonkov, Gabriel Tseng, Catherine Nakalembe et al.