Co-occurring keywords · papers mentioning both
Papers
On the Power of Small-size Graph Neural Networks for Linear Programming
NeurIPS 2024
Optimization Algorithm Design via Electric Circuits
NeurIPS 2024
Private Geometric Median
NeurIPS 2024
Sparse NMF with Archetypal Regularization: Computational and Robustness Properties
JMLR 2024
Structure Learning with Continuous Optimization: A Sober Look and Beyond
CLeaR 2024
A Continuous-time Stochastic Gradient Descent Method for Continuous Data
JMLR 2023
An Efficient Multi-solution Solver for the Inverse Kinematics of 3-Section Constant-Curvature Robots
RSS 2023
Constrained Optimization via Exact Augmented Lagrangian and Randomized Iterative Sketching
ICML 2023
Continuous-time Analysis of Anchor Acceleration
NeurIPS 2023
DAG Learning on the Permutahedron
ICLR 2023
D-CIPHER: Discovery of Closed-form Partial Differential Equations
NeurIPS 2023
Editable Image Geometric Abstraction via Neural Primitive Assembly
ICCV 2023
Faster Margin Maximization Rates for Generic Optimization Methods
NeurIPS 2023
MA-BBOB: Many-Affine Combinations of BBOB Functions for Evaluating AutoML Approaches in Noiseless Numerical Black-Box Optimization Contexts
AutoML 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
Reducing Discretization Error in the Frank-Wolfe Method
AISTATS 2023
Reinforcement-Enhanced Autoregressive Feature Transformation: Gradient-steered Search in Continuous Space for Postfix Expressions
NeurIPS 2023
Resolving the Approximability of Offline and Online Non-monotone DR-Submodular Maximization over General Convex Sets
AISTATS 2023
Allocating Opportunities in a Dynamic Model of Intergenerational Mobility (Extended Abstract)
IJCAI 2022
Born-Infeld (BI) for AI: Energy-Conserving Descent (ECD) for Optimization
ICML 2022
Continuous-Time Analysis of Accelerated Gradient Methods via Conservation Laws in Dilated Coordinate Systems
ICML 2022
DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization
NeurIPS 2022
Efficient Neural Causal Discovery without Acyclicity Constraints
ICLR 2022
GAGA: Deciphering Age-path of Generalized Self-paced Regularizer
NeurIPS 2022