Optimization

Boosted Dynamic Neural Networks AAAI 2023 Breaking Correlation Shift via Conditional Invariant Regularizer ICLR 2023 Bypass Exponential Time Preprocessing: Fast Neural Network Training via Weight-Data Correlation Preprocessing NeurIPS 2023 CAME: Confidence-guided Adaptive Memory Efficient Optimization ACL 2023 Catalyst Acceleration of Error Compensated Methods Leads to Better Communication Complexity AISTATS 2023 Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization NeurIPS 2023 CFA: Class-Wise Calibrated Fair Adversarial Training CVPR 2023 Chasing Clouds: Differentiable Volumetric Rasterisation of Point Clouds as a Highly Efficient and Accurate Loss for Large-Scale Deformable 3D Registration ICCV 2023 Class-Conditional Sharpness-Aware Minimization for Deep Long-Tailed Recognition CVPR 2023 Closing the gap between the upper bound and lower bound of Adam's iteration complexity NeurIPS 2023 CocktailSGD: Fine-tuning Foundation Models over 500Mbps Networks ICML 2023 Cold Analysis of Rao-Blackwellized Straight-Through Gumbel-Softmax Gradient Estimator ICML 2023 Combining Slow and Fast: Complementary Filtering for Dynamics Learning AAAI 2023 Conjugate Gradient Method for Generative Adversarial Networks AISTATS 2023 Constrained Optimization via Exact Augmented Lagrangian and Randomized Iterative Sketching ICML 2023 Contrastive Decoding: Open-ended Text Generation as Optimization ACL 2023 Convergence of AdaGrad for Non-convex Objectives: Simple Proofs and Relaxed Assumptions COLT 2023 Convergence of Adam Under Relaxed Assumptions NeurIPS 2023 Convergence of Proximal Point and Extragradient-Based Methods Beyond Monotonicity: the Case of Negative Comonotonicity ICML 2023 Coop: Memory is not a Commodity NeurIPS 2023 CORNN: Convex optimization of recurrent neural networks for rapid inference of neural dynamics NeurIPS 2023 COT: Unsupervised Domain Adaptation With Clustering and Optimal Transport CVPR 2023 D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory ICLR 2023 Dataset Distillation with Convexified Implicit Gradients ICML 2023 Decentralized Learning: Theoretical Optimality and Practical Improvements JMLR 2023