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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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Papers (including subtopics)

Arctique: An artificial histopathological dataset unifying realism and controllability for uncertainty quantification NeurIPS 2024 A Recipe for Improved Certifiable Robustness ICLR 2024 A Recipe for Scaling up Text-to-Video Generation with Text-free Videos CVPR 2024 Are Conventional SNNs Really Efficient? A Perspective from Network Quantization CVPR 2024 Are Graph Neural Networks Optimal Approximation Algorithms? NeurIPS 2024 A Regularization-based Transfer Learning Method for Information Extraction via Instructed Graph Decoder COLING 2024 Are High-Degree Representations Really Unnecessary in Equivariant Graph Neural Networks? NeurIPS 2024 Are Large Language Models (LLMs) Good Social Predictors? EMNLP 2024 Are Large Language Models State-of-the-art Quality Estimators for Machine Translation of User-generated Content? EMNLP 2024 Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data ACL 2024 Are More LLM Calls All You Need? Towards the Scaling Properties of Compound AI Systems NeurIPS 2024 Are Multiple Instance Learning Algorithms Learnable for Instances? NeurIPS 2024 A representation-learning game for classes of prediction tasks ICLR 2024 A Reproducibility Study on Quantifying Language Similarity: The Impact of Missing Values in the URIEL Knowledge Base NAACL 2024 Are Transformers with One Layer Self-Attention Using Low-Rank Weight Matrices Universal Approximators? ICLR 2024 Are You Concerned about Limited Function Evaluations: Data-Augmented Pareto Set Learning for Expensive Multi-Objective Optimization AAAI 2024 Are you sure? Analysing Uncertainty Quantification Approaches for Real-world Speech Emotion Recognition Interspeech 2024 ARGS: Alignment as Reward-Guided Search ICLR 2024 Arithmetic Control of LLMs for Diverse User Preferences: Directional Preference Alignment with Multi-Objective Rewards ACL 2024 A ROBUST DIFFERENTIAL NEURAL ODE OPTIMIZER ICLR 2024 AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields NeurIPS 2024 ARTEMIS: Adaptive Bitrate Ladder Optimization for Live Video Streaming NSDI 2024 A scalable generative model for dynamical system reconstruction from neuroimaging data NeurIPS 2024 A Score-Based Deterministic Diffusion Algorithm with Smooth Scores for General Distributions AAAI 2024 A Semi-supervised Molecular Learning Framework for Activity Cliff Estimation IJCAI 2024