Optimization

LiDAR-in-the-Loop Hyperparameter Optimization CVPR 2023 Lie Group Forced Variational Integrator Networks for Learning and Control of Robot Systems L4DC 2023 Lie Point Symmetry and Physics-Informed Networks NeurIPS 2023 Lifted Bregman Training of Neural Networks JMLR 2023 Likelihood Adjusted Semidefinite Programs for Clustering Heterogeneous Data ICML 2023 Linear Convergence of Gradient Descent For Finite Width Over-parametrized Linear Networks With General Initialization AISTATS 2023 Linear Convergence of Natural Policy Gradient Methods with Log-Linear Policies ICLR 2023 Linearization Algorithms for Fully Composite Optimization COLT 2023 Linearly Constrained Bilevel Optimization: A Smoothed Implicit Gradient Approach ICML 2023 Linear Regularizers Enforce the Strict Saddle Property AAAI 2023 Linear Reinforcement Learning with Ball Structure Action Space ALT 2023 Linear Time Algorithms for k-means with Multi-Swap Local Search NeurIPS 2023 Linear-Time Modeling of Linguistic Structure: An Order-Theoretic Perspective EMNLP 2023 Lipschitz constant estimation for 1D convolutional neural networks L4DC 2023 LipsFormer: Introducing Lipschitz Continuity to Vision Transformers ICLR 2023 LipsNet: A Smooth and Robust Neural Network with Adaptive Lipschitz Constant for High Accuracy Optimal Control ICML 2023 LISSNAS: Locality-based Iterative Search Space Shrinkage for Neural Architecture Search IJCAI 2023 LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models EMNLP 2023 LMC: Fast Training of GNNs via Subgraph Sampling with Provable Convergence ICLR 2023 Locally Regularized Neural Differential Equations: Some Black Boxes were meant to remain closed! ICML 2023 Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning ICML 2023 Local Path Integration for Attribution AAAI 2023 Logarithmic-Regret Quantum Learning Algorithms for Zero-Sum Games NeurIPS 2023 LogSpecT: Feasible Graph Learning Model from Stationary Signals with Recovery Guarantees NeurIPS 2023 Lo-Hi: Practical ML Drug Discovery Benchmark NeurIPS 2023