Optimization

Combining Axes Preconditioners through Kronecker Approximation for Deep Learning ICLR 2024 Combining Frame and GOP Embeddings for Neural Video Representation CVPR 2024 CoMERA: Computing- and Memory-Efficient Training via Rank-Adaptive Tensor Optimization NeurIPS 2024 Communication Compression for Byzantine Robust Learning: New Efficient Algorithms and Improved Rates AISTATS 2024 Communication Efficient Distributed Newton Method over Unreliable Networks AAAI 2024 Communication-Efficient Federated Group Distributionally Robust Optimization NeurIPS 2024 Communication-Efficient Federated Learning with Accelerated Client Gradient CVPR 2024 Communication-Efficient Federated Learning With Data and Client Heterogeneity AISTATS 2024 Communication-Efficient Gradient Descent-Accent Methods for Distributed Variational Inequalities: Unified Analysis and Local Updates ICLR 2024 Compact Language Models via Pruning and Knowledge Distillation NeurIPS 2024 Compact Optimality Verification for Optimization Proxies ICML 2024 Comparing Neighbors Together Makes it Easy: Jointly Comparing Multiple Candidates for Efficient and Effective Retrieval EMNLP 2024 Complexity of Single Loop Algorithms for Nonlinear Programming with Stochastic Objective and Constraints AISTATS 2024 Compositional Curvature Bounds for Deep Neural Networks ICML 2024 Compositional Generative Inverse Design ICLR 2024 Compressed and distributed least-squares regression: convergence rates with applications to federated learning JMLR 2024 Compressed Context Memory for Online Language Model Interaction ICLR 2024 Compressing Large Language Models using Low Rank and Low Precision Decomposition NeurIPS 2024 Compressing Latent Space via Least Volume ICLR 2024 Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference NeurIPS 2024 Computing Low-Entropy Couplings for Large-Support Distributions UAI 2024 Computing the Bias of Constant-step Stochastic Approximation with Markovian Noise NeurIPS 2024 Concise and Precise Context Compression for Tool-Using Language Models ACL 2024 Conditional Language Policy: A General Framework For Steerable Multi-Objective Finetuning EMNLP 2024 Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models ICLR 2024