Papers
One-Step Generalization Ratio Guided Optimization for Domain Generalization
Sumin Cho, Dongwon Kim, Kwangsu Kim
One Stone, Two Birds: Enhancing Adversarial Defense Through the Lens of Distributional Discrepancy
Jiacheng Zhang, Benjamin I. P. Rubinstein, Jingfeng Zhang et al.
One Wave To Explain Them All: A Unifying Perspective On Feature Attribution
Gabriel Kasmi, Amandine Brunetto, Thomas Fel et al.
On Exact Bit-level Reversible Transformers Without Changing Architecture
Guoqiang Zhang, Jp Lewis, W. Bastiaan Kleijn
On Explaining Equivariant Graph Networks via Improved Relevance Propagation
Hongyi Ling, Haiyang Yu, Zhimeng Jiang et al.
On Fine-Grained Distinct Element Estimation
Ilias Diakonikolas, Daniel Kane, Jasper C.H. Lee et al.
On Learning Parallel Pancakes with Mostly Uniform Weights
Ilias Diakonikolas, Daniel Kane, Sushrut Karmalkar et al.
On Linear Convergence in Smooth Convex-Concave Bilinearly-Coupled Saddle-Point Optimization: Lower Bounds and Optimal Algorithms
Ekaterina Borodich, Alexander Gasnikov, Dmitry Kovalev
Online Clustering of Dueling Bandits
Zhiyong Wang, Jiahang Sun, Mingze Kong et al.
Online Conformal Prediction via Online Optimization
Felipe Areces, Christopher Mohri, Tatsunori Hashimoto et al.
Online Curvature-Aware Replay: Leveraging $\mathbf2^nd$ Order Information for Online Continual Learning
Edoardo Urettini, Antonio Carta
Online Detection of LLM-Generated Texts via Sequential Hypothesis Testing by Betting
Can Chen, Jun-Kun Wang
Online Differentially Private Conformal Prediction for Uncertainty Quantification
Qiangqiang Zhang, Ting Li, Xinwei Feng et al.
Online Episodic Convex Reinforcement Learning
Bianca Marin Moreno, Khaled Eldowa, Pierre Gaillard et al.
Online Laplacian-Based Representation Learning in Reinforcement Learning
Maheed H. Ahmed, Jayanth Bhargav, Mahsa Ghasemi
Online Learning in Risk Sensitive constrained MDP
Arnob Ghosh, Mehrdad Moharrami
Online Learning in the Random-Order Model
Martino Bernasconi, Andrea Celli, Riccardo Colini Baldeschi et al.
Online Learning with Unknown Constraints
Karthik Sridharan, Seung Won Wilson Yoo
Online Linear Classification with Massart Noise
Ilias Diakonikolas, Vasilis Kontonis, Christos Tzamos et al.
Online Pre-Training for Offline-to-Online Reinforcement Learning
Yongjae Shin, Jeonghye Kim, Whiyoung Jung et al.
Online Robust Reinforcement Learning Through Monte-Carlo Planning
Tuan Quang Dam, Kishan Panaganti, Brahim Driss et al.
Online Sparsification of Bipartite-Like Clusters in Graphs
Joyentanuj Das, Suranjan De, He Sun
On Measuring Long-Range Interactions in Graph Neural Networks
Jacob Bamberger, Benjamin Gutteridge, Scott Le Roux et al.
On Mitigating Affinity Bias through Bandits with Evolving Biased Feedback
Matthew Faw, Constantine Caramanis, Jessica Hoffmann