Papers
On the Convergence of Federated Averaging with Cyclic Client Participation
Yae Jee Cho, Pranay Sharma, Gauri Joshi et al.
On the Convergence of Gradient Flow on Multi-layer Linear Models
Hancheng Min, Rene Vidal, Enrique Mallada
On the Convergence of SARSA with Linear Function Approximation
Shangtong Zhang, Remi Tachet Des Combes, Romain Laroche
On the convergence of the MLE as an estimator of the learning rate in the Exp3 algorithm
Julien Aubert, Luc Lehéricy, Patricia Reynaud-Bouret
On the Convergence Rate of Gaussianization with Random Rotations
Felix Draxler, Lars Kühmichel, Armand Rousselot et al.
On the Correctness of Automatic Differentiation for Neural Networks with Machine-Representable Parameters
Wonyeol Lee, Sejun Park, Alex Aiken
On the Effectiveness of Offline RL for Dialogue Response Generation
Paloma Sodhi, Felix Wu, Ethan R. Elenberg et al.
On the Estimation of Gaussian Mixture Copula Models
Ashutosh Tewari
On the Expressive Power of Geometric Graph Neural Networks
Chaitanya K. Joshi, Cristian Bodnar, Simon V Mathis et al.
On the Forward Invariance of Neural ODEs
Wei Xiao, Tsun-Hsuan Wang, Ramin Hasani et al.
On the Functional Similarity of Robust and Non-Robust Neural Representations
András Balogh, Márk Jelasity
On the Generalization of Multi-modal Contrastive Learning
Qi Zhang, Yifei Wang, Yisen Wang
On the Global Convergence of Fitted Q-Iteration with Two-layer Neural Network Parametrization
Mudit Gaur, Vaneet Aggarwal, Mridul Agarwal
On the Identifiability and Estimation of Causal Location-Scale Noise Models
Alexander Immer, Christoph Schultheiss, Julia E Vogt et al.
On the Impact of Algorithmic Recourse on Social Segregation
Ruijiang Gao, Himabindu Lakkaraju
On the Impact of Knowledge Distillation for Model Interpretability
Hyeongrok Han, Siwon Kim, Hyun-Soo Choi et al.
On the Importance of Feature Decorrelation for Unsupervised Representation Learning in Reinforcement Learning
Hojoon Lee, Koanho Lee, Dongyoon Hwang et al.
On the Initialization of Graph Neural Networks
Jiahang Li, Yakun Song, Xiang Song et al.
On the Interplay Between Misspecification and Sub-optimality Gap in Linear Contextual Bandits
Weitong Zhang, Jiafan He, Zhiyuan Fan et al.
On the Occupancy Measure of Non-Markovian Policies in Continuous MDPs
Romain Laroche, Remi Tachet Des Combes
On the Optimality of Misspecified Kernel Ridge Regression
Haobo Zhang, Yicheng Li, Weihao Lu et al.
On the Power of Foundation Models
Yang Yuan
On the Power of Pre-training for Generalization in RL: Provable Benefits and Hardness
Haotian Ye, Xiaoyu Chen, Liwei Wang et al.
On the Privacy-Robustness-Utility Trilemma in Distributed Learning
Youssef Allouah, Rachid Guerraoui, Nirupam Gupta et al.