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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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2000
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Papers (including subtopics)

How Speculative Can Speculative Decoding Be? COLING 2024 How Spurious Features are Memorized: Precise Analysis for Random and NTK Features ICML 2024 How to Boost Any Loss Function NeurIPS 2024 How to Escape Sharp Minima with Random Perturbations ICML 2024 How to Evaluate Behavioral Models AAAI 2024 How to Explore with Belief: State Entropy Maximization in POMDPs ICML 2024 How to Fine-Tune Vision Models with SGD ICLR 2024 How to Make the Gradients Small Privately: Improved Rates for Differentially Private Non-Convex Optimization ICML 2024 How to Protect Copyright Data in Optimization of Large Language Models? AAAI 2024 How to Solve Contextual Goal-Oriented Problems with Offline Datasets? NeurIPS 2024 How to Train the Teacher Model for Effective Knowledge Distillation ECCV 2024 How to Use the Metropolis Algorithm for Multi-Objective Optimization? AAAI 2024 How Transformers Learn Causal Structure with Gradient Descent ICML 2024 How Transformers Utilize Multi-Head Attention in In-Context Learning? A Case Study on Sparse Linear Regression NeurIPS 2024 How Two-Layer Neural Networks Learn, One (Giant) Step at a Time JMLR 2024 How Uniform Random Weights Induce Non-uniform Bias: Typical Interpolating Neural Networks Generalize with Narrow Teachers ICML 2024 How Well Can a Genetic Algorithm Fine-tune Transformer Encoders? A First Approach NAACL 2024 HPipe: Large Language Model Pipeline Parallelism for Long Context on Heterogeneous Cost-effective Devices NAACL 2024 HPOD: Hyperparameter Optimization for Unsupervised Outlier Detection AutoML 2024 HPO-RL-Bench: A Zero-Cost Benchmark for HPO in Reinforcement Learning AutoML 2024 HSVI-based online minimax strategies for partially observable stochastic games with neural perception mechanisms L4DC 2024 HTCCN: Temporal Causal Convolutional Networks with Hawkes Process for Extrapolation Reasoning in Temporal Knowledge Graphs NAACL 2024 HuBERT-EE: Early Exiting HuBERT for Efficient Speech Recognition Interspeech 2024 Human Alignment of Large Language Models through Online Preference Optimisation ICML 2024 Human-LLM Hybrid Text Answer Aggregation for Crowd Annotations EMNLP 2024