Optimization

Symmetry-Informed Governing Equation Discovery NeurIPS 2024 Taming Binarized Neural Networks and Mixed-Integer Programs AAAI 2024 Taming Nonconvex Stochastic Mirror Descent with General Bregman Divergence AISTATS 2024 Task-Driven Wavelets using Constrained Empirical Risk Minimization CVPR 2024 Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization NeurIPS 2024 TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision ICML 2024 Tensor-Based Synchronization and the Low-Rankness of the Block Trifocal Tensor NeurIPS 2024 The Benefits of Reusing Batches for Gradient Descent in Two-Layer Networks: Breaking the Curse of Information and Leap Exponents ICML 2024 The Challenges of the Nonlinear Regime for Physics-Informed Neural Networks NeurIPS 2024 The Expected Loss of Preconditioned Langevin Dynamics Reveals the Hessian Rank AAAI 2024 The Feature Speed Formula: a flexible approach to scale hyper-parameters of deep neural networks NeurIPS 2024 The Fine-Grained Complexity of Gradient Computation for Training Large Language Models NeurIPS 2024 The Implicit Bias of Adam on Separable Data NeurIPS 2024 The Implicit Bias of Gradient Descent on Separable Multiclass Data NeurIPS 2024 The Price of Implicit Bias in Adversarially Robust Generalization NeurIPS 2024 The Road Less Scheduled NeurIPS 2024 The Star Geometry of Critic-Based Regularizer Learning NeurIPS 2024 Tighter Convergence Bounds for Shuffled SGD via Primal-Dual Perspective NeurIPS 2024 TiNO-Edit: Timestep and Noise Optimization for Robust Diffusion-Based Image Editing CVPR 2024 TinyLUT: Tiny Look-Up Table for Efficient Image Restoration at the Edge NeurIPS 2024 Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms NeurIPS 2024 Towards Accurate Post-training Quantization for Diffusion Models CVPR 2024 Towards Certifiably Robust Face Recognition ECCV 2024 Towards Dynamic Message Passing on Graphs NeurIPS 2024 Towards Efficient Training and Evaluation of Robust Models against l_0 Bounded Adversarial Perturbations ICML 2024