conftrace_

optimization algorithm

148 papers

Explore in graph

Co-occurring keywords

convex optimization (1321) gradient descent (1144) coordinate descent (147) convergence rate (607) stochastic gradient descent (1091) stochastic optimization (1060) combinatorial optimization (1039) support vector machine (978) sparse optimization (246) neural network optimization (1293)

Papers

Data-Driven Performance Guarantees for Classical and Learned Optimizers JMLR 2025
Matrix-Free Shared Intrinsics Bundle Adjustment CVPR 2025
Learning-to-Optimize with PAC-Bayesian Guarantees: Theoretical Considerations and Practical Implementation JMLR 2025
Efficient Universal Goal Hijacking with Semantics-guided Prompt Organization ACL 2025
Witty: An Efficient Solver for Computing Minimum-Size Decision Trees AAAI 2025
Linear Transformers are Versatile In-Context Learners NIPS 2024
Hyperparameter-Free Approach for Faster Minimum Bayes Risk Decoding ACL 2024
A data-driven model of acoustic speech intelligibility for optimization-based models of speech production INTERSPEECH 2024
IPM-LSTM: A Learning-Based Interior Point Method for Solving Nonlinear Programs NIPS 2024
Maximizing the Success Probability of Policy Allocations in Online Systems AAAI 2024
On the Power of Small-size Graph Neural Networks for Linear Programming NIPS 2024
Refining rtMRI Landmark-Based Vocal Tract Contour Labels with FCN-Based Smoothing and Point-to-Curve Projection COLING 2024
Generalized Eigenvalue Problems with Generative Priors NIPS 2024
Optimal and Approximate Adaptive Stochastic Quantization NIPS 2024
Private Geometric Median NIPS 2024
Learning to Warm-Start Fixed-Point Optimization Algorithms JMLR 2024
Optimal Top-Two Method for Best Arm Identification and Fluid Analysis NIPS 2024
The Bayesian Learning Rule JMLR 2023
Policy Gradient in Robust MDPs with Global Convergence Guarantee ICML 2023
Symbolic Discovery of Optimization Algorithms NIPS 2023
Does It Pay to Optimize AUC? AAAI 2023
Symmetry-Aware Robot Design with Structured Subgroups ICML 2023
Transformer-Based Learned Optimization CVPR 2023
PAC-Bayesian Learning of Optimization Algorithms AISTATS 2023
Finding an ϵ-Close Minimal Variation of Parameters in Bayesian Networks IJCAI 2023