Continuous Optimization

Computing High-dimensional Confidence Sets for Arbitrary Distributions COLT 2025 Constrained Pareto Set Identification with Bandit Feedback ICML 2025 Constrained Preferential Bayesian Optimization and Its Application in Banner Ad Design IJCAI 2025 Contextual Bandits for Unbounded Context Distributions ICML 2025 Contextual Linear Bandits with Delay as Payoff ICML 2025 Contextual Online Decision Making with Infinite-Dimensional Functional Regression ICML 2025 Contextual Optimization Under Model Misspecification: A Tractable and Generalizable Approach ICML 2025 Continuous Bayesian Model Selection for Multivariate Causal Discovery ICML 2025 Continuous Diffusive Prediction Network for Multi-Station Weather Prediction IJCAI 2025 Convergence of Mean-Field Langevin Stochastic Descent-Ascent for Distributional Minimax Optimization ICML 2025 Convex Relaxation for Robust Vanishing Point Estimation in Manhattan World CVPR 2025 Creating Coherence in Federated Non-Negative Matrix Factorization AAAI 2025 Cubic regularized subspace Newton for non-convex optimization AISTATS 2025 CUNSB-RFIE: Context-Aware Unpaired Neural Schrodinger Bridge in Retinal Fundus Image Enhancement WACV 2025 Data Dependent Regret Bounds for Online Portfolio Selection with Predicted Returns ALT 2025 Data-driven Design of Randomized Control Trials with Guaranteed Treatment Effects ICML 2025 Data-Driven Performance Guarantees for Classical and Learned Optimizers JMLR 2025 Data Selection for ERMs COLT 2025 Decentralized Asynchronous Optimization with DADAO allows Decoupling and Acceleration JMLR 2025 Decentralized Projected Riemannian Stochastic Recursive Momentum Method for Nonconvex Optimization AAAI 2025 Decision Making under the Exponential Family: Distributionally Robust Optimisation with Bayesian Ambiguity Sets ICML 2025 Decouple and Decompose: Scaling Resource Allocation with DeDe OSDI 2025 De-coupled NeuroGF for Shortest Path Distance Approximations on Large Terrain Graphs ICML 2025 Decoupling Training-Free Guided Diffusion by ADMM CVPR 2025 Deep Sturm–Liouville: From Sample-Based to 1D Regularization with Learnable Orthogonal Basis Functions ICML 2025