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Optimization

1,207 papers

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Papers

QuACK: Accelerating Gradient-Based Quantum Optimization with Koopman Operator Learning NIPS 2023
A Unified Discretization Framework for Differential Equation Approach with Lyapunov Arguments for Convex Optimization NIPS 2023
A Finite-Particle Convergence Rate for Stein Variational Gradient Descent NIPS 2023
(S)GD over Diagonal Linear Networks: Implicit bias, Large Stepsizes and Edge of Stability NIPS 2023
Non-Convex Bilevel Optimization with Time-Varying Objective Functions NIPS 2023
Variational Inference with Gaussian Score Matching NIPS 2023
A Novel Framework for Policy Mirror Descent with General Parameterization and Linear Convergence NIPS 2023
A Fast and Accurate Estimator for Large Scale Linear Model via Data Averaging NIPS 2023
Quantum speedups for stochastic optimization NIPS 2023
An Optimal Structured Zeroth-order Algorithm for Non-smooth Optimization NIPS 2023
Closing the gap between the upper bound and lower bound of Adam's iteration complexity NIPS 2023
PETAL: Physics Emulation Through Averaged Linearizations for Solving Inverse Problems NIPS 2023
Stable Nonconvex-Nonconcave Training via Linear Interpolation NIPS 2023
T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization NIPS 2023
Optimization or Architecture: How to Hack Kalman Filtering NIPS 2023
Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation NIPS 2023
Block Coordinate Plug-and-Play Methods for Blind Inverse Problems NIPS 2023
Learning Fractals by Gradient Descent AAAI 2023
IKOL: Inverse Kinematics Optimization Layer for 3D Human Pose and Shape Estimation via Gauss-Newton Differentiation AAAI 2023
Fast Converging Anytime Model Counting AAAI 2023
Self-Supervised Primal-Dual Learning for Constrained Optimization AAAI 2023
Constraint Optimization over Semirings AAAI 2023
Constrained Market Share Maximization by Signal-Guided Optimization AAAI 2023
Query-Aware Quantization for Maximum Inner Product Search AAAI 2023
DMIS: Dynamic Mesh-Based Importance Sampling for Training Physics-Informed Neural Networks AAAI 2023