Papers
Online Linear Regression with Paid Stochastic Features
Nadav Merlis, Kyoungseok Jang, Nicolò Cesa-Bianchi
Online Multi-LLM Selection via Contextual Bandits Under Unstructured Context Evolution
Manhin Poon, Xiangxiang Dai, Xutong Liu et al.
Online Multi-Relational Clustering with Dominant View Mining
Zhengzhong Zhu, Pei Zhou, Dongsheng Wang et al.
Online Robust Planning Under Model Uncertainty: A Sample-Based Approach
Tamir Shazman, Idan Lev-Yehudi, Ron Benchetrit et al.
On Logical Extrapolation for Mazes with Recurrent and Implicit Networks
Brandon Knutson, Amandin Chyba Rabeendran, Michael Ivanitskiy et al.
On Modality Weighting and Specificity for Multi-Modal Entity Alignment
Yu Xing, Qizhuo Xie, Yunhui Liu et al.
On Model and Data Scaling for Skeleton-based Self-Supervised Gait Recognition
Adrian Cosma, Andy Eduard Catruna, Emilian Radoi
On Robustness of Linear Classifiers to Targeted Data Poisoning
Nakshatra Gupta, Sumanth Prabhu S, Supratik Chakraborty et al.
On Stealing Graph Neural Network Models
Marcin Podhajski, Jan Dubiński, Franziska Boenisch et al.
On the Alignment of Large Language Models with Global Human Opinion
Yang Liu, Masahiro Kaneko, Chenhui Chu
On the Approximation Ratio of Optimal Fixed-Price Mechanisms for Single and Multi-Unit Bilateral Trade
Giordano Giambartolomei, Bart de Keijzer
On the Calibration of Image Semi-Supervised Learning Models
Mehrab Mustafy Rahman, Jayanth Mohan, Tiberiu Sosea et al.
On the Dataless Training of Neural Networks
Alvaro Velasquez, Susmit Jha, Ismail R. Alkhouri
On the Edge of Core (Non-)Emptiness: An Automated Reasoning Approach to Approval-Based Multi-Winner Voting
Ratip Emin Berker, Emanuel Tewolde, Vincent Conitzer et al.
On the Evaluation of Capability Estimation Methods for Large Language Models
Qiang Hu, Jin Wen, Yao Zhang et al.
On the Exponential Convergence for Offline RLHF with Pairwise Comparisons
Zhirui Chen, Vincent Y. F. Tan
On the Feasibility of Using MultiModal LLMs to Execute AR Social Engineering Attacks
Ting Bi, Chenghang Ye, Zheyu Yang et al.
On the Impact of Weight Quantization on Deep Neural Network Uncertainty
Shuang Liang, Xun Lu, Zi-Ang Liu et al.
On the Information Processing of One-Dimensional Wasserstein Distances with Finite Samples
Cheongjae Jang, Jonghyun Won, Soyeon Jun et al.
On the Learning Dynamics of Two-layer Linear Networks with Label Noise SGD
Tongcheng Zhang, Zhanpeng Zhou, Mingze Wang et al.
On the Misalignment Between Data Learnability and Forgettability in Machine Unlearning
Zijie Pan, Zuobin Ying, Yajie Wang et al.
On the Probabilistic Learnability of Compact Neural Network Preimage Bounds
Luca Marzari, Manuele Bicego, Ferdinando Cicalese et al.
On the Robustness of Bandit Multiple Testing
Zhengyu Zhou, Weiwei Liu
On the Superimposed Noise Accumulation Problem in Sequential Knowledge Editing of Large Language Models
Ding Cao, Yuchen Cai, Yuqing Huang et al.