Continuous Optimization

Efficiently learning and sampling multimodal distributions with data-based initialization COLT 2025 Efficiently Vectorized MCMC on Modern Accelerators ICML 2025 Efficient Multivariate Robust Mean Estimation Under Mean-Shift Contamination ICML 2025 Efficient Optimization with Orthogonality Constraint: a Randomized Riemannian Submanifold Method ICML 2025 Efficient PAC Learning of Halfspaces with Constant Malicious Noise Rate ALT 2025 Enabling Optimal Decisions in Rehearsal Learning under CARE Condition ICML 2025 EnergyCompress: A General Case Base Learning Strategy IJCAI 2025 Enhanced H-Consistency Bounds ALT 2025 EnliveningGS: Active Locomotion of 3DGS CVPR 2025 Ensuring Reliable and Transparent Algorithmic Fairness Through Optimal Transport and Uncertainty Quantification IJCAI 2025 Error bounds for particle gradient descent, and extensions of the log-Sobolev and Talagrand inequalities JMLR 2025 Error dynamics of mini-batch gradient descent with random reshuffling for least squares regression ALT 2025 Escaping Saddle Point Efficiently in Minimax and Bilevel Optimizations IJCAI 2025 Exact Recovery of Sparse Binary Vectors from Generalized Linear Measurements ICML 2025 Expected Hypervolume Improvement Is a Particular Hypervolume Improvement AAAI 2025 Experimental Design for Semiparametric Bandits COLT 2025 Explicit Guidance for Robust Video Frame Interpolation against Discontinuous Motions WACV 2025 Exploiting Similarity for Computation and Communication-Efficient Decentralized Optimization ICML 2025 Extremal graphical modeling with latent variables via convex optimization JMLR 2025 Fair Clustering via Alignment ICML 2025 Fair Division via the Cake-Cutting Share AAAI 2025 Fair Submodular Maximization over a Knapsack Constraint IJCAI 2025 Fast Algorithm for Constrained Linear Inverse Problems JMLR 2025 Fast Bayesian Optimization of Function Networks with Partial Evaluations AutoML 2025 Fast Computation of Superquantile-Constrained Optimization Through Implicit Scenario Reduction JMLR 2025