Optimization

Fine-Tuning Language Models with Just Forward Passes NeurIPS 2023 Finite time analysis of temporal difference learning with linear function approximation: Tail averaging and regularisation AISTATS 2023 First-Order Algorithms for Nonlinear Generalized Nash Equilibrium Problems JMLR 2023 First Order Methods with Markovian Noise: from Acceleration to Variational Inequalities NeurIPS 2023 First Order Stochastic Optimization with Oblivious Noise NeurIPS 2023 Fisher-Legendre (FishLeg) optimization of deep neural networks ICLR 2023 Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity AISTATS 2023 Fixing MoE Over-Fitting on Low-Resource Languages in Multilingual Machine Translation ACL 2023 Fixing the NTK: From Neural Network Linearizations to Exact Convex Programs NeurIPS 2023 FLASH: Automating federated learning using CASH UAI 2023 Flash: Concept Drift Adaptation in Federated Learning ICML 2023 Flatness-Aware Minimization for Domain Generalization ICCV 2023 Flatness-Aware Prompt Selection Improves Accuracy and Sample Efficiency EMNLP 2023 Fleet Active Learning: A Submodular Maximization Approach CoRL 2023 FLEX: an Adaptive Exploration Algorithm for Nonlinear Systems ICML 2023 FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU ICML 2023 FlexRound: Learnable Rounding based on Element-wise Division for Post-Training Quantization ICML 2023 FlowPG: Action-constrained Policy Gradient with Normalizing Flows NeurIPS 2023 Following the Data, Not the Function: Rethinking Function Orchestration in Serverless Computing NSDI 2023 Forecasting with Sparse but Informative Variables: A Case Study in Predicting Blood Glucose AAAI 2023 ForestPrune: Compact Depth-Pruned Tree Ensembles AISTATS 2023 ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning NeurIPS 2023 Forward-Backward Gaussian Variational Inference via JKO in the Bures-Wasserstein Space ICML 2023 Forward Super-Resolution: How Can GANs Learn Hierarchical Generative Models for Real-World Distributions ICLR 2023 f-Policy Gradients: A General Framework for Goal-Conditioned RL using f-Divergences NeurIPS 2023