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Optimization

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Papers

Contextual Refinement of Translations: Large Language Models for Sentence and Document-Level Post-Editing NAACL 2024 Continual Momentum Filtering on Parameter Space for Online Test-time Adaptation ICLR 2024 Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks ICLR 2024 Continuous Product Graph Neural Networks NeurIPS 2024 Contrastive Predict-and-Search for Mixed Integer Linear Programs ICML 2024 Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation ICML 2024 Controlgym: Large-scale control environments for benchmarking reinforcement learning algorithms L4DC 2024 Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment EMNLP 2024 Controllable Prompt Tuning For Balancing Group Distributional Robustness ICML 2024 Controlled maximal variability along with reliable performance in recurrent neural networks NeurIPS 2024 Controlling Continuous Relaxation for Combinatorial Optimization NeurIPS 2024 Controlling Rate, Distortion, and Realism: Towards a Single Comprehensive Neural Image Compression Model WACV 2024 Convergence Analysis of Split Federated Learning on Heterogeneous Data NeurIPS 2024 Convergence and Complexity Guarantee for Inexact First-order Riemannian Optimization Algorithms ICML 2024 Convergence and Trade-Offs in Riemannian Gradient Descent and Riemannian Proximal Point ICML 2024 Convergence for nonconvex ADMM, with applications to CT imaging JMLR 2024 Convergence guarantees for adaptive model predictive control with kinky inference L4DC 2024 Convergence Guarantees for the DeepWalk Embedding on Block Models ICML 2024 Convergence of Bayesian Bilevel Optimization ICLR 2024 Convergence of Gradient Descent with Small Initialization for Unregularized Matrix Completion COLT 2024 Convergence of Online Learning Algorithm for a Mixture of Multiple Linear Regressions ICML 2024 Convergence to Nash Equilibrium and No-regret Guarantee in (Markov) Potential Games AISTATS 2024 Convexity Certificates for Symbolic Tensor Expressions IJCAI 2024 Convex neural network synthesis for robustness in the 1-norm L4DC 2024 Convex Relaxations for Manifold-Valued Markov Random Fields with Approximation Guarantees ECCV 2024