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Continuous Optimization

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3D Student Splatting and Scooping CVPR 2025
Stochastic Gradient Estimation for Higher-Order Differentiable Rendering ICCV 2025
Convex Relaxation for Robust Vanishing Point Estimation in Manhattan World CVPR 2025
Dense Match Summarization for Faster Two-view Estimation CVPR 2025
MaDCoW: Marginal Distortion Correction for Wide-Angle Photography with Arbitrary Objects CVPR 2025
FlashGS: Efficient 3D Gaussian Splatting for Large-scale and High-resolution Rendering CVPR 2025
FW-Merging: Scaling Model Merging with Frank-Wolfe Optimization ICCV 2025
Stochastic Extragradient with Flip-Flop Shuffling & Anchoring: Provable Improvements NIPS 2024
Space-Time Continuous PDE Forecasting using Equivariant Neural Fields NIPS 2024
Tensor-Based Synchronization and the Low-Rankness of the Block Trifocal Tensor NIPS 2024
The Reliability of OKRidge Method in Solving Sparse Ridge Regression Problems NIPS 2024
Learning with Fitzpatrick Losses NIPS 2024
Constrained Binary Decision Making NIPS 2024
SPARKLE: A Unified Single-Loop Primal-Dual Framework for Decentralized Bilevel Optimization NIPS 2024
Newton Losses: Using Curvature Information for Learning with Differentiable Algorithms NIPS 2024
Optimal Acceleration for Minimax and Fixed-Point Problems is Not Unique ICML 2024
Acceleration Exists! Optimization Problems When Oracle Can Only Compare Objective Function Values NIPS 2024
Fairness in Social Influence Maximization via Optimal Transport NIPS 2024
Boundary Decomposition for Nadir Objective Vector Estimation NIPS 2024
Interaction-Force Transport Gradient Flows NIPS 2024
Instance-Optimal Private Density Estimation in the Wasserstein Distance NIPS 2024
Implicit Bias of Mirror Flow on Separable Data NIPS 2024
Incorporating Surrogate Gradient Norm to Improve Offline Optimization Techniques NIPS 2024
Bayesian Adaptive Calibration and Optimal Design NIPS 2024
Single-Loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions NIPS 2024