Optimization

BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling NeurIPS 2024 Boosting Diffusion Models with an Adaptive Momentum Sampler IJCAI 2024 Boosting Diffusion Models with Moving Average Sampling in Frequency Domain CVPR 2024 Boosting Offline Optimizers with Surrogate Sensitivity ICML 2024 Boosting Order-Preserving and Transferability for Neural Architecture Search: a Joint Architecture Refined Search and Fine-tuning Approach CVPR 2024 Boosting Text-to-Video Generative Model with MLLMs Feedback NeurIPS 2024 Bottleneck-Minimal Indexing for Generative Document Retrieval ICML 2024 Boundary Decomposition for Nadir Objective Vector Estimation NeurIPS 2024 Bounded robustness in reinforcement learning via lexicographic objectives L4DC 2024 Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty AISTATS 2024 Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature Attacks ICLR 2024 BPO: Staying Close to the Behavior LLM Creates Better Online LLM Alignment EMNLP 2024 BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning NeurIPS 2024 Breaking isometric ties and introducing priors in Gromov-Wasserstein distances AISTATS 2024 Breaking the Ceiling of the LLM Community by Treating Token Generation as a Classification for Ensembling EMNLP 2024 Breaking the Heavy-Tailed Noise Barrier in Stochastic Optimization Problems AISTATS 2024 Bridging Model-Based Optimization and Generative Modeling via Conservative Fine-Tuning of Diffusion Models NeurIPS 2024 Bridging the Preference Gap between Retrievers and LLMs ACL 2024 Building Optimal Neural Architectures using Interpretable Knowledge CVPR 2024 Building Socially-Equitable Public Models ICML 2024 Butterfly Effects of SGD Noise: Error Amplification in Behavior Cloning and Autoregression ICLR 2024 Bypassing the ASP Bottleneck: Hybrid Grounding by Splitting and Rewriting IJCAI 2024 Byzantine-Robust Decentralized Learning via Remove-then-Clip Aggregation AAAI 2024 Byzantine Robustness and Partial Participation Can Be Achieved at Once: Just Clip Gradient Differences NeurIPS 2024 C3: High-Performance and Low-Complexity Neural Compression from a Single Image or Video CVPR 2024