Machine Learning

On Temporal ASP with Eager Unfoldable Operators IJCAI 2025 On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory JMLR 2025 On the Acquisition of Shared Grammatical Representations in Bilingual Language Models ACL 2025 On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning ICLR 2025 On the Adversarial Robustness of Multi-Kernel Clustering ICML 2025 On the Adversarial Vulnerability of Label-Free Test-Time Adaptation ICLR 2025 On the Almost Sure Convergence of the Stochastic Three Points Algorithm ICLR 2025 On the Analysis and Distillation of Emergent Outlier Properties in Pre-trained Language Models NAACL 2025 On the Approximation of Kernel functions JMLR 2025 On the Asymptotic Optimality of Confidence Interval Based Algorithms for Fixed Confidence MABs AAAI 2025 On the Benefits of Active Data Collection in Operator Learning ICML 2025 On the Benefits of Attribute-Driven Graph Domain Adaptation ICLR 2025 On the Byzantine-Resilience of Distillation-Based Federated Learning ICLR 2025 On the Clean Generalization and Robust Overfitting in Adversarial Training from Two Theoretical Views: Representation Complexity and Training Dynamics ICML 2025 On the Completeness of Invariant Geometric Deep Learning Models ICLR 2025 On The Concurrence of Layer-wise Preconditioning Methods and Provable Feature Learning ICML 2025 On the Convergence of Continual Federated Learning Using Incrementally Aggregated Gradients AISTATS 2025 On the Convergence of Continuous Single-timescale Actor-critic ICML 2025 On the Convergence of Locally Adaptive and Scalable Diffusion-Based Sampling Methods for Deep Bayesian Neural Network Posteriors AISTATS 2025 On the Convergence of Min-Max Langevin Dynamics and Algorithm COLT 2025 On the Convergence of Moral Self-Correction in Large Language Models IJCNLP 2025 On the Convergence of Projected Policy Gradient for Any Constant Step Sizes JMLR 2025 On the Correspondence between the Squared Norm and Information Content in Text Embeddings EMNLP 2025 On the Crucial Role of Initialization for Matrix Factorization ICLR 2025 On the Discrimination and Consistency for Exemplar-Free Class Incremental Learning IJCAI 2025