Machine Learning

Local Causal Discovery Without Causal Sufficiency AAAI 2025 Local convergence of simultaneous min-max algorithms to differential equilibrium on Riemannian manifold ICLR 2025 Local Dense Logit Relations for Enhanced Knowledge Distillation ICCV 2025 Locality Alignment Improves Vision-Language Models ICLR 2025 Locality Sensitive Avatars From Video ICLR 2025 Localized Concept Erasure for Text-to-Image Diffusion Models Using Training-Free Gated Low-Rank Adaptation CVPR 2025 Localizing Malicious Outputs from CodeLLM EMNLP 2025 Local Linear Recovery Guarantee of Deep Neural Networks at Overparameterization JMLR 2025 Local Look-Ahead Guidance via Verifier-in-the-Loop for Automated Theorem Proving ACL 2025 Local Loss Optimization in the Infinite Width: Stable Parameterization of Predictive Coding Networks and Target Propagation ICLR 2025 Locally Connected Echo State Networks for Time Series Forecasting ICLR 2025 Locally Convex Global Loss Network for Decision-Focused Learning AAAI 2025 Locally Optimal Descent for Dynamic Stepsize Scheduling AISTATS 2025 Locally Private Causal Inference for Randomized Experiments JMLR 2025 Locally Private Estimation with Public Features AISTATS 2025 Locally Private Sampling with Public Data AISTATS 2025 Local Masked Reconstruction for Efficient Self-Supervised Learning on High-Resolution Images WACV 2025 Local Normalization Distortion and the Thermodynamic Formalism of Decoding Strategies for Large Language Models EMNLP 2025 LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning ICLR 2025 Local Prompt Optimization NAACL 2025 Local Regularizers Are Not Transductive Learners COLT 2025 Local Scale Equivariance with Latent Deep Equilibrium Canonicalizer ICCV 2025 Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression ICLR 2025 Local Stochastic Sensitivity Analysis For Dynamical Systems AISTATS 2025 LOCATE 3D: Real-World Object Localization via Self-Supervised Learning in 3D ICML 2025