Optimization

Identifiability and Estimation in High-Dimensional Nonparametric Latent Structure Models COLT 2025 Identifying and Reusing Learnwares Across Different Label Spaces IJCAI 2025 IG-Pruning: Input-Guided Block Pruning for Large Language Models EMNLP 2025 I-GUARD: Interpretability-Guided Parameter Optimization for Adversarial Defense EMNLP 2025 Im2Haircut: Single-view Strand-based Hair Reconstruction for Human Avatars ICCV 2025 Image Reconstruction from Readout-Multiplexed Single-Photon Detector Arrays CVPR 2025 Imagination and Contemplation: A Balanced Framework for Semantic-Augmented Multimodal Machine Translation EMNLP 2025 Implicit Cross-Lingual Rewarding for Efficient Multilingual Preference Alignment ACL 2025 Implicit Riemannian Optimism with Applications to Min-Max Problems ICML 2025 Implicit Search via Discrete Diffusion: A Study on Chess ICLR 2025 Implicit Subgraph Neural Network ICML 2025 Importance Corrected Neural JKO Sampling ICML 2025 Importance Sampling for Nonlinear Models ICML 2025 Importance Weighting Can Help Large Language Models Self-Improve AAAI 2025 Improved and Oracle-Efficient Online ℓ_1-Multicalibration ICML 2025 Improved Approximations for Hard Graph Problems using Predictions ICML 2025 Improved Convergence Rate for Diffusion Probabilistic Models ICLR 2025 Improved Fixed-Parameter Bounds for Min-Sum-Radii and Diameters k-Clustering and Their Fair Variants AAAI 2025 Improved Last-Iterate Convergence of Shuffling Gradient Methods for Nonsmooth Convex Optimization ICML 2025 Improved Lower Bounds for First-order Stochastic Non-convex Optimization under Markov Sampling ICML 2025 Improved Noise Schedule for Diffusion Training ICCV 2025 Improved Online Confidence Bounds for Multinomial Logistic Bandits ICML 2025 Improved Rates of Differentially Private Nonconvex-Strongly-Concave Minimax Optimization AAAI 2025 Improved Sample Complexity for Private Nonsmooth Nonconvex Optimization ICML 2025 Improved Sampling Of Diffusion Models In Fluid Dynamics With Tweedie's Formula ICLR 2025