Optimization

CF-OPT: Counterfactual Explanations for Structured Prediction ICML 2024 Circuit Design and Efficient Simulation of Quantum Inner Product and Empirical Studies of Its Effect on Near-Term Hybrid Quantum-Classic Machine Learning CVPR 2024 Clarifying the Behavior and the Difficulty of Adversarial Training AAAI 2024 CLFFRD: Curriculum Learning and Fine-grained Fusion for Multimodal Rumor Detection COLING 2024 Closed-Loop Visuomotor Control with Generative Expectation for Robotic Manipulation NeurIPS 2024 Closing the Computational-Query Depth Gap in Parallel Stochastic Convex Optimization COLT 2024 Closing the Curious Case of Neural Text Degeneration ICLR 2024 Closing the Gap: Achieving Global Convergence (Last Iterate) of Actor-Critic under Markovian Sampling with Neural Network Parametrization ICML 2024 CLOSURE: Fast Quantification of Pose Uncertainty Sets RSS 2024 Cluster-Adaptive Network A/B Testing: From Randomization to Estimation JMLR 2024 Clustered Federated Learning via Gradient-based Partitioning ICML 2024 CMACE: CMAES-based Counterfactual Explanations for Black-box Models IJCAI 2024 CMR Scaling Law: Predicting Critical Mixture Ratios for Continual Pre-training of Language Models EMNLP 2024 CO2: Efficient Distributed Training with Full Communication-Computation Overlap ICLR 2024 CoBa: Convergence Balancer for Multitask Finetuning of Large Language Models EMNLP 2024 CoBo: Collaborative Learning via Bilevel Optimization NeurIPS 2024 CodedEvents: Optimal Point-Spread-Function Engineering for 3D-Tracking with Event Cameras CVPR 2024 Cogs in a Machine, Doing What They’re Meant to Do – the AMI Submission to the WMT24 General Translation Task EMNLP 2024 CoLiDE: Concomitant Linear DAG Estimation ICLR 2024 Collage: Light-Weight Low-Precision Strategy for LLM Training ICML 2024 Collective Certified Robustness against Graph Injection Attacks ICML 2024 CoLoR-Filter: Conditional Loss Reduction Filtering for Targeted Language Model Pre-training NeurIPS 2024 Color-Oriented Redundancy Reduction in Dataset Distillation NeurIPS 2024 Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators AAAI 2024 Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond ICML 2024