Machine Learning

On the Distortion of Committee Election with 1-Euclidean Preferences and Few Distance Queries AAAI 2025 On the Diversity of Adversarial Ensemble Learning ICML 2025 On the Duality between Gradient Transformations and Adapters ICML 2025 On the Dynamic Regret of Following the Regularized Leader: Optimism with History Pruning ICML 2025 On the effective transfer of knowledge from English to Hindi Wikipedia COLING 2025 On the Effects of Fine-tuning Language Models for Text-Based Reinforcement Learning COLING 2025 On the Emergence of Position Bias in Transformers ICML 2025 On the Expressiveness and Length Generalization of Selective State Space Models on Regular Languages AAAI 2025 On the expressiveness and spectral bias of KANs ICLR 2025 On the Expressiveness of Rational ReLU Neural Networks With Bounded Depth ICLR 2025 On the Expressive Power of Sparse Geometric MPNNs ICLR 2025 On the Feasibility of In-Context Probing for Data Attribution NAACL 2025 On the Feature Learning in Diffusion Models ICLR 2025 On-the-Fly Adaptive Distillation of Transformer to Dual-State Linear Attention for Long-Context LLM Serving ICML 2025 On-the-Fly Object-aware Representative Point Selection in Point Cloud WACV 2025 On-the-fly Preference Alignment via Principle-Guided Decoding ICLR 2025 On the Fourier analysis in the SO(3) space : the EquiLoPO Network ICLR 2025 On the Generalization Ability of Next-Token-Prediction Pretraining ICML 2025 On the Generalization of Feature Incremental Learning IJCAI 2025 On the Generalization of Handwritten Text Recognition Models CVPR 2025 On the Generalization of Representation Uncertainty in Earth Observation ICCV 2025 On the Generalization vs Fidelity Paradox in Knowledge Distillation ACL 2025 On the Guidance of Flow Matching ICML 2025 On the Hardness of Bandit Learning COLT 2025 On the Hardness of Learning One Hidden Layer Neural Networks ALT 2025