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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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Papers (including subtopics)

Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences ICLR 2025 Bayesian Optimization via Continual Variational Last Layer Training ICLR 2025 Bayesian Prompt Flow Learning for Zero-Shot Anomaly Detection CVPR 2025 Bayesian Regularization of Latent Representation ICLR 2025 Bayesian Scalar-on-Image Regression with a Spatially Varying Single-layer Neural Network Prior JMLR 2025 Bayesian Score Calibration for Approximate Models JMLR 2025 Bayesian Sparse Gaussian Mixture Model for Clustering in High Dimensions JMLR 2025 Bayesian Test-Time Adaptation for Vision-Language Models CVPR 2025 Bayesian Treatment of the Spectrum of the Empirical Kernel in (Sub)Linear-Width Neural Networks ICLR 2025 Bayesian Weight Enhancement with Steady-State Adaptation for Test-time Adaptation in Dynamic Environments ICML 2025 BayesKD: Bayesian Knowledge Distillation for Compact LLMs in Constrained Fine-tuning Scenarios ACL 2025 Bayes Meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes JMLR 2025 Bayes without Underfitting: Fully Correlated Deep Learning Posteriors via Alternating Projections AISTATS 2025 BBScoreV2: Learning Time-Evolution and Latent Alignment from Stochastic Representation EMNLP 2025 Be a Goldfish: Forgetting Bad Conditioning in Sparse Linear Regression via Variational Autoencoders ICML 2025 BeamLoRA: Beam-Constraint Low-Rank Adaptation ACL 2025 BECAME: Bayesian Continual Learning with Adaptive Model Merging ICML 2025 Be Confident: Uncovering Overfitting in MLLM Multi-Task Tuning ICML 2025 BEE: Metric-Adapted Explanations via Baseline Exploration-Exploitation AAAI 2025 Behavior-agnostic Task Inference for Robust Offline In-context Reinforcement Learning ICML 2025 Behavior Synthesis via Contact-Aware Fisher Information Maximization RSS 2025 Behavioural vs. Representational Systematicity in End-to-End Models: An Opinionated Survey ACL 2025 BEIR-NL: Zero-shot Information Retrieval Benchmark for the Dutch Language COLING 2025 Belief-Conditioned One-Step Diffusion: Real-Time Trajectory Planning with Just-Enough Sensing CoRL 2025 BElite at BLP-2025 Task 1: Leveraging Ensemble for Multi Task Hate Speech Detection in Bangla AACL 2025