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Continuous Optimization

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Single-Loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions NIPS 2024
Constrained Binary Decision Making NIPS 2024
SPARKLE: A Unified Single-Loop Primal-Dual Framework for Decentralized Bilevel Optimization NIPS 2024
Conformal Inverse Optimization NIPS 2024
Log-concave Sampling from a Convex Body with a Barrier: a Robust and Unified Dikin Walk NIPS 2024
Shuffling Gradient-Based Methods for Nonconvex-Concave Minimax Optimization NIPS 2024
An Embedding Framework for the Design and Analysis of Consistent Polyhedral Surrogates JMLR 2024
Constrained Diffusion with Trust Sampling NIPS 2024
Light Unbalanced Optimal Transport NIPS 2024
An Algorithm with Optimal Dimension-Dependence for Zero-Order Nonsmooth Nonconvex Stochastic Optimization JMLR 2024
Learning Macroscopic Dynamics from Partial Microscopic Observations NIPS 2024
Private Geometric Median NIPS 2024
A robust inlier identification algorithm for point cloud registration via $\mathbf{\ell_0}$-minimization NIPS 2024
Generalized Eigenvalue Problems with Generative Priors NIPS 2024
Dynamic Conditional Optimal Transport through Simulation-Free Flows NIPS 2024
Efficient Minimum Bayes Risk Decoding using Low-Rank Matrix Completion Algorithms NIPS 2024
John Ellipsoids via Lazy Updates NIPS 2024
Quantum Algorithms for Non-smooth Non-convex Optimization NIPS 2024
Dual Lagrangian Learning for Conic Optimization NIPS 2024
Decision-Focused Learning with Directional Gradients NIPS 2024
Constant Acceleration Flow NIPS 2024
Generalization Bounds of Nonconvex-(Strongly)-Concave Stochastic Minimax Optimization AISTATS 2024
Optimized Speculative Sampling for GPU Hardware Accelerators EMNLP 2024
Extensive-Form Game Solving via Blackwell Approachability on Treeplexes NIPS 2024
MG-Net: Learn to Customize QAOA with Circuit Depth Awareness NIPS 2024