Optimization

Efficient Minimum Bayes Risk Decoding using Low-Rank Matrix Completion Algorithms NeurIPS 2024 Efficient Modality Selection in Multimodal Learning JMLR 2024 Efficient Model-Based Concave Utility Reinforcement Learning through Greedy Mirror Descent AISTATS 2024 Efficient Model Stealing Defense with Noise Transition Matrix CVPR 2024 Efficient Online Crowdsourcing with Complex Annotations AAAI 2024 Efficient Reinforcement Learning for Routing Jobs in Heterogeneous Queueing Systems AISTATS 2024 Efficient Score Matching with Deep Equilibrium Layers ICLR 2024 Efficient Sequential Decision Making with Large Language Models EMNLP 2024 Efficient Sign-Based Optimization: Accelerating Convergence via Variance Reduction NeurIPS 2024 Efficient Sketches for Training Data Attribution and Studying the Loss Landscape NeurIPS 2024 Efficient Solution of Point-Line Absolute Pose CVPR 2024 Efficient Stochastic Approximation of Minimax Excess Risk Optimization ICML 2024 Efficient Streaming Language Models with Attention Sinks ICLR 2024 Efficient Subgraph GNNs by Learning Effective Selection Policies ICLR 2024 ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer NeurIPS 2024 Electronic Medical Records Assisted Digital Clinical Trial Design AISTATS 2024 Eliminating Biased Length Reliance of Direct Preference Optimization via Down-Sampled KL Divergence EMNLP 2024 Elucidating the Exposure Bias in Diffusion Models ICLR 2024 Eluder-based Regret for Stochastic Contextual MDPs ICML 2024 Embarrassingly Simple Dataset Distillation ICLR 2024 EM Distillation for One-step Diffusion Models NeurIPS 2024 EM for Mixture of Linear Regression with Clustered Data AISTATS 2024 EMO: EARTH MOVER DISTANCE OPTIMIZATION FOR AUTO-REGRESSIVE LANGUAGE MODELING ICLR 2024 Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Products ICLR 2024 Enabling Few-Shot Learning with PID Control: A Layer Adaptive Optimizer ICML 2024