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Optimization

1203 directly classified papers

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Papers

Leaving the Nest: Going beyond Local Loss Functions for Predict-Then-Optimize AAAI 2024
Symbolic Regression with a Learned Concept Library NIPS 2024
Big Learning Expectation Maximization AAAI 2024
Monte Carlo Tree Search based Space Transfer for Black Box Optimization NIPS 2024
Constrained Bayesian Optimization under Partial Observations: Balanced Improvements and Provable Convergence AAAI 2024
Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes NIPS 2024
Maximizing Nash Social Welfare under Two-Sided Preferences AAAI 2024
Optimal Mechanism in a Dynamic Stochastic Knapsack Environment AAAI 2024
ICON: Incremental CONfidence for Joint Pose and Radiance Field Optimization CVPR 2024
Optimization Can Learn Johnson Lindenstrauss Embeddings NIPS 2024
OpenBox: A Python Toolkit for Generalized Black-box Optimization JMLR 2024
Generalized Fast Exact Conformalization NIPS 2024
Estimating Fog Parameters From an Image Sequence Using Non-Linear Optimisation WACV 2024
Inversion-based Latent Bayesian Optimization NIPS 2024
The Sample Complexity of Gradient Descent in Stochastic Convex Optimization NIPS 2024
Taming Throughput-Latency Tradeoff in LLM Inference with Sarathi-Serve OSDI 2024
Exact ASP Counting with Compact Encodings AAAI 2024
Scalable Optimization in the Modular Norm NIPS 2024
Decentralized Sum-of-Nonconvex Optimization AAAI 2024
Gradient Guidance for Diffusion Models: An Optimization Perspective NIPS 2024
SPARKLE: A Unified Single-Loop Primal-Dual Framework for Decentralized Bilevel Optimization NIPS 2024
Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activations IJCAI 2024
Atomic Recovery Property for Multi-view Subspace-Preserving Recovery IJCAI 2024
Rhythm Inference Helping Writing Music Scores IJCAI 2024
Fixed Pattern Noise Removal for Multi-View Single-Sensor Infrared Camera WACV 2024