conftrace_

continuous optimization

135 papers

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Co-occurring keywords

convex optimization (1321) gradient descent (1144) directed acyclic graph (245) optimal transport (948) discrete optimization (145) structure learning (341) graphical model (864) submodular maximization (143) convergence rate (607) combinatorial optimization (1039)

Papers

A Scalable and Exact Relaxation for Densest k-Subgraph via Error Bounds AAAI 2026
Scalable Air-Quality Sensor Placement via Gradient-Based Mutual Information Maximization AAAI 2026
Towards Fast and Scalable Normal Integration using Continuous Components WACV 2026
Augmented Mass-Spring Model for Real-Time Dense Hair Simulation ICCV 2025
DisCo-DSO: Coupling Discrete and Continuous Optimization for Efficient Generative Design in Hybrid Spaces AAAI 2025
FW-Merging: Scaling Model Merging with Frank-Wolfe Optimization ICCV 2025
MPO: Boosting LLM Agents with Meta Plan Optimization EMNLP 2025
Data-Driven Performance Guarantees for Classical and Learned Optimizers JMLR 2025
Online Markov Decision Processes Configuration with Continuous Decision Space AAAI 2024
Implicit Bias of Mirror Flow on Separable Data NIPS 2024
Low-Rank Optimal Transport through Factor Relaxation with Latent Coupling NIPS 2024
Structure Learning with Continuous Optimization: A Sober Look and Beyond CLEAR 2024
Light Unbalanced Optimal Transport NIPS 2024
Effective Causal Discovery under Identifiable Heteroscedastic Noise Model AAAI 2024
Optimization Algorithm Design via Electric Circuits NIPS 2024
Mirror and Preconditioned Gradient Descent in Wasserstein Space NIPS 2024
Private Geometric Median NIPS 2024
Sparse NMF with Archetypal Regularization: Computational and Robustness Properties JMLR 2024
On the Power of Small-size Graph Neural Networks for Linear Programming NIPS 2024
Differentiable Structure Learning with Partial Orders NIPS 2024
Dynamic Conditional Optimal Transport through Simulation-Free Flows NIPS 2024
Reducing Discretization Error in the Frank-Wolfe Method AISTATS 2023
Online Learning for Non-monotone DR-Submodular Maximization: From Full Information to Bandit Feedback AISTATS 2023
Principled Acceleration of Iterative Numerical Methods Using Machine Learning ICML 2023
Continuous-time Analysis of Anchor Acceleration NIPS 2023