gradient

David and Goliath: Small One-step Model Beats Large Diffusion with Score Post-training ICML 2025 DiLQR: Differentiable Iterative Linear Quadratic Regulator via Implicit Differentiation ICML 2025 Enforcing Idempotency in Neural Networks ICML 2025 Gradient Methods with Online Scaling COLT 2025 Outlier Gradient Analysis: Efficiently Identifying Detrimental Training Samples for Deep Learning Models ICML 2025 Targeted Unlearning with Single Layer Unlearning Gradient ICML 2025 The Courage to Stop: Overcoming Sunk Cost Fallacy in Deep Reinforcement Learning ICML 2025 Wasserstein Policy Optimization ICML 2025 A Study of First-Order Methods with a Deterministic Relative-Error Gradient Oracle ICML 2024 Dynamic Anisotropic Smoothing for Noisy Derivative-Free Optimization ICML 2024 Faster Adaptive Decentralized Learning Algorithms ICML 2024 GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection ICML 2024 Iterated Denoising Energy Matching for Sampling from Boltzmann Densities ICML 2024 LASER: Linear Compression in Wireless Distributed Optimization ICML 2024 On a Neural Implementation of Brenier’s Polar Factorization ICML 2024 On Spectral Properties of Gradient-based Explanation Methods ECCV 2024