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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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52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models ACL 2024 Towards training digitally-tied analog blocks via hybrid gradient computation NeurIPS 2024 Towards Training Without Depth Limits: Batch Normalization Without Gradient Explosion ICLR 2024 Towards Transferable Adversarial Attacks with Centralized Perturbation AAAI 2024 Toward Student-oriented Teacher Network Training for Knowledge Distillation ICLR 2024 Towards Understanding Extrapolation: a Causal Lens NeurIPS 2024 Towards Understanding the Working Mechanism of Text-to-Image Diffusion Model NeurIPS 2024 Toward the Evaluation of Large Language Models Considering Score Variance across Instruction Templates EMNLP 2024 Toward the Identifiability of Comparative Deep Generative Models CLeaR 2024 Traceable Federated Continual Learning CVPR 2024 Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs NeurIPS 2024 Tracing Linguistic Heritage: Constructing a Somali-Italian Terminological Resource through Explorers’ Notebooks and Contemporary Corpus Analysis COLING 2024 Tractable MCMC for Private Learning with Pure and Gaussian Differential Privacy ICLR 2024 TrAct: Making First-layer Pre-Activations Trainable NeurIPS 2024 Trade-Offs of Diagonal Fisher Information Matrix Estimators NeurIPS 2024 Trading off Consistency and Dimensionality of Convex Surrogates for Multiclass Classification NeurIPS 2024 Trading Place for Space: Increasing Location Resolution Reduces Contextual Capacity in Hippocampal Codes NeurIPS 2024 Tradition or Innovation: A Comparison of Modern ASR Methods for Forced Alignment Interspeech 2024 Traffic Flow Optimisation for Lifelong Multi-Agent Path Finding AAAI 2024 Trained Random Forests Completely Reveal your Dataset ICML 2024 Training and Cross-Validating Machine Learning Pipelines with Limited Memory AutoML 2024 Training Bayesian Neural Networks with Sparse Subspace Variational Inference ICLR 2024 Training Binary Neural Networks via Gaussian Variational Inference and Low-Rank Semidefinite Programming NeurIPS 2024 Training Data Attribution via Approximate Unrolling NeurIPS 2024 Training Dynamics of Multi-Head Softmax Attention for In-Context Learning: Emergence, Convergence, and Optimality (extended abstract) COLT 2024