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Optimization & Theory

43,292 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (17,731) Learning Theory (6,809) Bayesian Inference (6,267) Theory (5,579) Statistical Learning (4,564) Neural Network Optimization (4,155) Stochastic Processes (2,948) Stochastic Methods (1,283) Loss Functions (1,220) Distributed Learning (1,202) Online Algorithms (1,013) Statistics (822) Generalization (376) Information Theory (370) Sample Complexity (282) Sparse Optimization (241) Game Theory (151) Convex Optimization (132) Optimal Transport (104) Robust Optimization (84) Distributed Optimization (73) Approximation Algorithms (33)

Papers per year

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52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Safe and Interpretable Estimation of Optimal Treatment Regimes AISTATS 2024 Safe and Sparse Newton Method for Entropic-Regularized Optimal Transport NeurIPS 2024 Safe Bayesian Optimization for the Control of High-Dimensional Embodied Systems CoRL 2024 Safe Collaborative Filtering ICLR 2024 SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding ACL 2024 Safe Exploration in Dose Finding Clinical Trials with Heterogeneous Participants ICML 2024 Safeguarded Progress in Reinforcement Learning: Safe Bayesian Exploration for Control Policy Synthesis AAAI 2024 Safe learning in nonlinear model predictive control L4DC 2024 Safe Reinforcement Learning with Instantaneous Constraints: The Role of Aggressive Exploration AAAI 2024 Safer-Instruct: Aligning Language Models with Automated Preference Data NAACL 2024 Safe RLHF: Safe Reinforcement Learning from Human Feedback ICLR 2024 Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel NeurIPS 2024 Safety filters for black-box dynamical systems by learning discriminating hyperplanes L4DC 2024 Safetywashing: Do AI Safety Benchmarks Actually Measure Safety Progress? NeurIPS 2024 Salience DETR: Enhancing Detection Transformer with Hierarchical Salience Filtering Refinement CVPR 2024 Samba: Severity-aware Recurrent Modeling for Cross-domain Medical Image Grading NeurIPS 2024 Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models ACL 2024 SAMformer: Unlocking the Potential of Transformers in Time Series Forecasting with Sharpness-Aware Minimization and Channel-Wise Attention ICML 2024 SAM-PARSER: Fine-Tuning SAM Efficiently by Parameter Space Reconstruction AAAI 2024 SAMPa: Sharpness-aware Minimization Parallelized NeurIPS 2024 Sample-and-Bound for Non-convex Optimization AAAI 2024 Sample and Computationally Efficient Robust Learning of Gaussian Single-Index Models NeurIPS 2024 Sample as you Infer: Predictive Coding with Langevin Dynamics ICML 2024 Sample Average Approximation for Conditional Stochastic Optimization with Dependent Data ICML 2024 Sample Complexity Bounds for Estimating Probability Divergences under Invariances ICML 2024