Papers
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.
Open-Vocabulary Multi-Label Classification via Multi-Modal Knowledge Transfer
Sunan He, Taian Guo, Tao Dai et al.
Opinion Optimization in Directed Social Networks
Haoxin Sun, Zhongzhi Zhang
Opposite Online Learning via Sequentially Integrated Stochastic Gradient Descent Estimators
Wenhai Cui, Xiaoting Ji, Linglong Kong et al.
OPRADI: Applying Security Game to Fight Drive under the Influence in Real-World
Luzhan Yuan, Wei Wang, Gaowei Zhang et al.
OPT-GAN: A Broad-Spectrum Global Optimizer for Black-Box Problems by Learning Distribution
Minfang Lu, Shuai Ning, Shuangrong Liu et al.
Optimal Decision Diagrams for Classification
Alexandre M. Florio, Pedro Martins, Maximilian Schiffer et al.
Optimal Execution via Multi-Objective Multi-Armed Bandits (Student Abstract)
Francois Buet-Golfouse, Peter Hill
Optimal Pathfinding on Weighted Grid Maps
Mark Carlson, Sajjad K. Moghadam, Daniel D. Harabor et al.
Optimal Pricing Schemes for Identical Items with Time-Sensitive Buyers
Zhengyang Liu, Liang Shan, Zihe Wang
Optimal Sparse Recovery with Decision Stumps
Kiarash Banihashem, Mohammad Hajiaghayi, Max Springer
Optimal Sparse Regression Trees
Rui Zhang, Rui Xin, Margo Seltzer et al.
Optimism in Face of a Context:Regret Guarantees for Stochastic Contextual MDP
Orin Levy, Yishay Mansour
Optimistic Whittle Index Policy: Online Learning for Restless Bandits
Kai Wang, Lily Xu, Aparna Taneja et al.
Optimizing Multiple Simultaneous Objectives for Voting and Facility Location
Yue Han, Christopher Jerrett, Elliot Anshelevich
Orders Are Unwanted: Dynamic Deep Graph Convolutional Network for Personality Detection
Tao Yang, Jinghao Deng, Xiaojun Quan et al.
Ordinal Programmatic Weak Supervision and Crowdsourcing for Estimating Cognitive States (Student Abstract)
Prakruthi Pradeep, Benedikt Boecking, Nicholas Gisolfi et al.