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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

1
52
352
828
3,646
5,854
2000
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'25

Papers (including subtopics)

HyperNet Fields: Efficiently Training Hypernetworks without Ground Truth by Learning Weight Trajectories CVPR 2025 Hypernetwork Aggregation for Decentralized Personalized Federated Learning IJCAI 2025 Hyperparameter Optimization via Interacting with Probabilistic Circuits AutoML 2025 Hyperparametric Robust and Dynamic Influence Maximization AAAI 2025 HyPoGen: Optimization-Biased Hypernetworks for Generalizable Policy Generation ICLR 2025 IAM: Efficient Inference through Attention Mapping between Different-scale LLMs ACL 2025 IBCircuit: Towards Holistic Circuit Discovery with Information Bottleneck ICML 2025 ICE-Bench: A Unified and Comprehensive Benchmark for Image Creating and Editing ICCV 2025 ICL-Bandit: Relevance Labeling in Advertisement Recommendation Systems via LLM EMNLP 2025 ICL CIPHERS: Quantifying ”Learning” in In-Context Learning via Substitution Ciphers EMNLP 2025 Identifiability and Estimation in High-Dimensional Nonparametric Latent Structure Models COLT 2025 Identifiability for Gaussian Processes with Holomorphic Kernels ICLR 2025 Identifiable Exchangeable Mechanisms for Causal Structure and Representation Learning ICLR 2025 Identifiable Object Representations under Spatial Ambiguities ICML 2025 Identification of Intermittent Temporal Latent Process ICLR 2025 Identify Backdoored Model in Federated Learning via Individual Unlearning WACV 2025 Identifying and Mitigating Spurious Correlation in Multi-Task Learning CVPR 2025 Identifying and Reusing Learnwares Across Different Label Spaces IJCAI 2025 Identifying Causal Direction via Variational Bayesian Compression ICML 2025 Identifying Drivers of Predictive Aleatoric Uncertainty IJCAI 2025 Identifying Metric Structures of Deep Latent Variable Models ICML 2025 Identifying Noise in Human-Created Datasets using Training Dynamics from Generative Models EMNLP 2025 Identifying Predictions That Influence the Future: Detecting Performative Concept Drift in Data Streams AAAI 2025 Identifying Pre-training Data in LLMs: A Neuron Activation-Based Detection Framework EMNLP 2025 Identifying Vocal and Facial Biomarkers of Depression in Large-Scale Remote Recordings: A Multimodal Study Using Mixed-Effects Modeling Interspeech 2025