Optimization

How to Make the Gradients Small Privately: Improved Rates for Differentially Private Non-Convex Optimization ICML 2024 How to Protect Copyright Data in Optimization of Large Language Models? AAAI 2024 How to Use the Metropolis Algorithm for Multi-Objective Optimization? AAAI 2024 How Transformers Utilize Multi-Head Attention in In-Context Learning? A Case Study on Sparse Linear Regression NeurIPS 2024 How Well Can a Genetic Algorithm Fine-tune Transformer Encoders? A First Approach NAACL 2024 HPOD: Hyperparameter Optimization for Unsupervised Outlier Detection AutoML 2024 HPO-RL-Bench: A Zero-Cost Benchmark for HPO in Reinforcement Learning AutoML 2024 HSVI-based online minimax strategies for partially observable stochastic games with neural perception mechanisms L4DC 2024 HuBERT-EE: Early Exiting HuBERT for Efficient Speech Recognition Interspeech 2024 Human Alignment of Large Language Models through Online Preference Optimisation ICML 2024 HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models NeurIPS 2024 HW-TSC 2024 Submission for the SemEval-2024 Task 1: Semantic Textual Relatedness (STR) SemEval 2024 HW-TSC’s Simultaneous Speech Translation System for IWSLT 2024 ACL 2024 Hybrid Alignment Training for Large Language Models ACL 2024 Hybrid Generative AI for De Novo Design of Co-Crystals with Enhanced Tabletability NeurIPS 2024 Hybrid Reinforcement Learning Breaks Sample Size Barriers In Linear MDPs NeurIPS 2024 Hybrid-Supervised Dual-Search: Leveraging Automatic Learning for Loss-Free Multi-Exposure Image Fusion AAAI 2024 HYDRA-FL: Hybrid Knowledge Distillation for Robust and Accurate Federated Learning NeurIPS 2024 HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning NeurIPS 2024 HyperAttention: Long-context Attention in Near-Linear Time ICLR 2024 HYPERmotion: Learning Hybrid Behavior Planning for Autonomous Loco-manipulation CoRL 2024 Hyperparameter-Free Approach for Faster Minimum Bayes Risk Decoding ACL 2024 Hyperparameter Optimization Can Even Be Harmful in Off-Policy Learning and How to Deal with It IJCAI 2024 Hyperparameter Tuning for Causal Inference with Double Machine Learning: A Simulation Study CLeaR 2024 HyperPrism: An Adaptive Non-linear Aggregation Framework for Distributed Machine Learning over Non-IID Data and Time-varying Communication Links NeurIPS 2024