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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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2000
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Papers (including subtopics)

Is That Your Final Answer? Test-Time Scaling Improves Selective Question Answering ACL 2025 Is Transductive Learning Equivalent to PAC Learning? ALT 2025 Is your benchmark truly adversarial? AdvScore: Evaluating Human-Grounded Adversarialness NAACL 2025 Is Your Imitation Learning Policy Better than Mine? Policy Comparison with Near-Optimal Stopping RSS 2025 Is Your LLM Outdated? A Deep Look at Temporal Generalization NAACL 2025 Iterated Belief Change as Learning IJCAI 2025 ITERATE: Image-Text Enhancement, Retrieval, and Alignment for Transmodal Evolution with LLMs COLING 2025 Iterative Label Refinement Matters More than Preference Optimization under Weak Supervision ICLR 2025 Iterative Monte Carlo Tree Search for Neural Architecture Search AutoML 2025 Iterative Nash Policy Optimization: Aligning LLMs with General Preferences via No-Regret Learning ICLR 2025 Iterative Vectors: In-Context Gradient Steering without Backpropagation ICML 2025 IterIS: Iterative Inference-Solving Alignment for LoRA Merging CVPR 2025 iTool: Reinforced Fine-Tuning with Dynamic Deficiency Calibration for Advanced Tool Use EMNLP 2025 ITP: Instance-Aware Test Pruning for Out-of-Distribution Detection AAAI 2025 It’s My Data Too: Private ML for Datasets with Multi-User Training Examples ICML 2025 Jackpot: Approximating Uncertainty Domains with Adversarial Manifolds JMLR 2025 Jamba: Hybrid Transformer-Mamba Language Models ICLR 2025 JHU IWSLT 2025 Low-resource System Description ACL 2025 Joint Graph Rewiring and Feature Denoising via Spectral Resonance ICLR 2025 Joint Learning of Energy-based Models and their Partition Function ICML 2025 Joint-Perturbation Simultaneous Pseudo-Gradient IJCAI 2025 Joint Scoring Rules: Competition Between Agents Avoids Performative Prediction AAAI 2025 Joint Self-Supervised Video Alignment and Action Segmentation ICCV 2025 Joint State and Noise Covariance Estimation RSS 2025 Joker: Joint Optimization Framework for Lightweight Kernel Machines ICML 2025