Mathematics & Optimization

Exploration of the Search Space of Gaussian Graphical Models for Paired Data JMLR 2024 Exploration via linearly perturbed loss minimisation AISTATS 2024 Exploring High-dimensional Search Space via Voronoi Graph Traversing UAI 2024 Exploring Intra and Inter-language Consistency in Embeddings with ICA EMNLP 2024 Exploring Jacobian Inexactness in Second-Order Methods for Variational Inequalities: Lower Bounds, Optimal Algorithms and Quasi-Newton Approximations NeurIPS 2024 Exploring Syllable Discriminability during Diadochokinetic Task with Increasing Dysarthria Severity for Patients with Amyotrophic Lateral Sclerosis Interspeech 2024 Exploring the Inefficiency of Heavy Ball as Momentum Parameter Approaches 1 IJCAI 2024 Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems AISTATS 2024 Exponential Quantum Communication Advantage in Distributed Inference and Learning NeurIPS 2024 Extensive-Form Game Solving via Blackwell Approachability on Treeplexes NeurIPS 2024 Extracting the Multiscale Causal Backbone of Brain Dynamics CLeaR 2024 Extragradient Type Methods for Riemannian Variational Inequality Problems AISTATS 2024 Extremal Separation Problems for Temporal Instance Queries IJCAI 2024 Factored-Reward Bandits with Intermediate Observations ICML 2024 FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding? NeurIPS 2024 FADAS: Towards Federated Adaptive Asynchronous Optimization ICML 2024 Fair Allocation of Items in Multiple Regions AAAI 2024 Fair and Optimal Prediction via Post-Processing AAAI 2024 Fair and Welfare-Efficient Constrained Multi-Matchings under Uncertainty NeurIPS 2024 Fair Distribution of Delivery Orders IJCAI 2024 Fair k-center Clustering with Outliers AISTATS 2024 Fair Lotteries for Participatory Budgeting AAAI 2024 Fairness and Efficiency in Online Class Matching NeurIPS 2024 Fairness-Aware Estimation of Graphical Models NeurIPS 2024 Fairness-Aware Meta-Learning via Nash Bargaining NeurIPS 2024