← Learning Types
Machine Learning › Learning Types ›

Optimization

341 directly classified papers

Papers per year

Papers

Increasing Revenue in Efficient Combinatorial Auctions by Learning to Generate Artificial Competition AAAI 2025
Improved Fixed-Parameter Bounds for Min-Sum-Radii and Diameters k-Clustering and Their Fair Variants AAAI 2025
Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-based Model Optimizers AAAI 2025
Accelerating Large Language Model Pretraining via LFR Pedagogy: Learn, Focus, and Review ACL 2025
ScaleBiO: Scalable Bilevel Optimization for LLM Data Reweighting ACL 2025
Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimization AAAI 2025
Neural Combinatorial Optimization for Stochastic Flexible Job Shop Scheduling Problems AAAI 2025
Structural Pruning via Spatial-aware Information Redundancy for Semantic Segmentation AAAI 2025
First-Order Federated Bilevel Learning AAAI 2025
Offline and Online Optical Flow Enhancement for Deep Video Compression AAAI 2024
Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous and Instruction-guided Driving CVPR 2024
Theoretical and Empirical Analysis of Cost-Function Merging for Implicit Hitting Set WCSP Solving AAAI 2024
Discovering Preference Optimization Algorithms with and for Large Language Models NIPS 2024
LLM Performance Predictors are good initializers for Architecture Search ACL 2024
Centroid-Based Efficient Minimum Bayes Risk Decoding ACL 2024
Prompting Hard or Hardly Prompting: Prompt Inversion for Text-to-Image Diffusion Models CVPR 2024
Threshold-Based Responsive Simulated Annealing for Directed Feedback Vertex Set Problem AAAI 2024
Differentially Private Optimization with Sparse Gradients NIPS 2024
Runtime Analysis of the (μ + 1) GA: Provable Speed-Ups from Strong Drift towards Diverse Populations AAAI 2024
Decision-Making for Land Conservation: A Derivative-Free Optimization Framework with Nonlinear Inputs AAAI 2024
Sample-and-Bound for Non-convex Optimization AAAI 2024
An Eager Satisfiability Modulo Theories Solver for Algebraic Datatypes AAAI 2024
DP-AdamBC: Your DP-Adam Is Actually DP-SGD (Unless You Apply Bias Correction) AAAI 2024
Adaptive Hardness Negative Sampling for Collaborative Filtering AAAI 2024
Solving Satisfiability Modulo Counting for Symbolic and Statistical AI Integration with Provable Guarantees AAAI 2024