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

IPO: Interpretable Prompt Optimization for Vision-Language Models NeurIPS 2024 IQ-VFI: Implicit Quadratic Motion Estimation for Video Frame Interpolation CVPR 2024 IR2: Information Regularization for Information Retrieval COLING 2024 Is attention required for ICL? Exploring the Relationship Between Model Architecture and In-Context Learning Ability ICLR 2024 Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning NeurIPS 2024 Is C4 Dataset Optimal for Pruning? An Investigation of Calibration Data for LLM Pruning EMNLP 2024 Is Child-Directed Speech Effective Training Data for Language Models? EMNLP 2024 Is Cross-validation the Gold Standard to Estimate Out-of-sample Model Performance? NeurIPS 2024 IS-DARTS: Stabilizing DARTS through Precise Measurement on Candidate Importance AAAI 2024 Is DPO Superior to PPO for LLM Alignment? A Comprehensive Study ICML 2024 Is Efficient PAC Learning Possible with an Oracle That Responds "Yes" or "No"? COLT 2024 Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods? ICML 2024 Is Gender Reference Gender-specific? Studies in a Polar Domain COLING 2024 Is In-Context Learning in Large Language Models Bayesian? A Martingale Perspective ICML 2024 Is Inverse Reinforcement Learning Harder than Standard Reinforcement Learning? A Theoretical Perspective ICML 2024 Is Kernel Prediction More Powerful than Gating in Convolutional Neural Networks? ICML 2024 Is Knowledge Power? On the (Im)possibility of Learning from Strategic Interactions NeurIPS 2024 Is O(log N) practical? Near-Equivalence Between Delay Robustness and Bounded Regret in Bandits and RL NeurIPS 2024 Isotropy, Clusters, and Classifiers ACL 2024 Is Preference Alignment Always the Best Option to Enhance LLM-Based Translation? An Empirical Analysis EMNLP 2024 Is Score Matching Suitable for Estimating Point Processes? NeurIPS 2024 Is Table Retrieval a Solved Problem? Exploring Join-Aware Multi-Table Retrieval ACL 2024 Is Temperature Sample Efficient for Softmax Gaussian Mixture of Experts? ICML 2024 Is Your LiDAR Placement Optimized for 3D Scene Understanding? NeurIPS 2024 It Ain’t That Bad: Understanding the Mysterious Performance Drop in OOD Generalization for Generative Transformer Models IJCAI 2024