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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)

Tackling Non-Stationarity in Reinforcement Learning via Causal-Origin Representation ICML 2024 Tackling the Data Heterogeneity in Asynchronous Federated Learning with Cached Update Calibration ICLR 2024 TaD: A Plug-and-Play Task-Aware Decoding Method to Better Adapt LLMs on Downstream Tasks IJCAI 2024 Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks NeurIPS 2024 Taking a turn for the better: Conversation redirection throughout the course of mental-health therapy EMNLP 2024 Taming Binarized Neural Networks and Mixed-Integer Programs AAAI 2024 Taming "data-hungry" reinforcement learning? Stability in continuous state-action spaces NeurIPS 2024 Taming Heavy-Tailed Losses in Adversarial Bandits and the Best-of-Both-Worlds Setting NeurIPS 2024 Taming Mode Collapse in Score Distillation for Text-to-3D Generation CVPR 2024 Taming Nonconvex Stochastic Mirror Descent with General Bregman Divergence AISTATS 2024 Taming the Sigmoid Bottleneck: Provably Argmaxable Sparse Multi-Label Classification AAAI 2024 Tangential Wasserstein Projections JMLR 2024 Target-Aware Language Modeling via Granular Data Sampling EMNLP 2024 Targeted Separation and Convergence with Kernel Discrepancies JMLR 2024 Targeted Sequential Indirect Experiment Design NeurIPS 2024 Targeted Syntactic Evaluation on the Chomsky Hierarchy COLING 2024 Target Networks and Over-parameterization Stabilize Off-policy Bootstrapping with Function Approximation ICML 2024 Target Speaker Extraction with Curriculum Learning Interspeech 2024 Task-Agnostic Machine-Learning-Assisted Inference NeurIPS 2024 Task Arithmetic can Mitigate Synthetic-to-Real Gap in Automatic Speech Recognition EMNLP 2024 Task-aware Orthogonal Sparse Network for Exploring Shared Knowledge in Continual Learning ICML 2024 Task Confusion and Catastrophic Forgetting in Class-Incremental Learning: A Mathematical Framework for Discriminative and Generative Modelings NeurIPS 2024 Task Contamination: Language Models May Not Be Few-Shot Anymore AAAI 2024 Task-Driven Wavelets using Constrained Empirical Risk Minimization CVPR 2024 Task structure and nonlinearity jointly determine learned representational geometry ICLR 2024