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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)

Dynamics of Supervised and Reinforcement Learning in the Non-Linear Perceptron NeurIPS 2024 Dynamic Spiking Graph Neural Networks AAAI 2024 DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems ICML 2024 DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks ICLR 2024 dzNLP at NADI 2024 Shared Task: Multi-Classifier Ensemble with Weighted Voting and TF-IDF Features ACL 2024 DεpS: Delayed ε-Shrinking for Faster Once-For-All Training ECCV 2024 E2E-AT: A Unified Framework for Tackling Uncertainty in Task-Aware End-to-End Learning AAAI 2024 E2HQV: High-Quality Video Generation from Event Camera via Theory-Inspired Model-Aided Deep Learning AAAI 2024 E2-LLM: Efficient and Extreme Length Extension of Large Language Models ACL 2024 EAGLE-2: Faster Inference of Language Models with Dynamic Draft Trees EMNLP 2024 Early Neuron Alignment in Two-layer ReLU Networks with Small Initialization ICLR 2024 Early Stopping Against Label Noise Without Validation Data ICLR 2024 EARS: An Anechoic Fullband Speech Dataset Benchmarked for Speech Enhancement and Dereverberation Interspeech 2024 Easy2Hard-Bench: Standardized Difficulty Labels for Profiling LLM Performance and Generalization NeurIPS 2024 EasyTPP: Towards Open Benchmarking Temporal Point Processes ICLR 2024 EBMDock: Neural Probabilistic Protein-Protein Docking via a Differentiable Energy Model ICLR 2024 ECLipsE: Efficient Compositional Lipschitz Constant Estimation for Deep Neural Networks NeurIPS 2024 EControl: Fast Distributed Optimization with Compression and Error Control ICLR 2024 e-COP : Episodic Constrained Optimization of Policies NeurIPS 2024 EcoRank: Budget-Constrained Text Re-ranking Using Large Language Models ACL 2024 Edge Inference With Fully Differentiable Quantized Mixed Precision Neural Networks WACV 2024 EdgeRIC: Empowering Real-time Intelligent Optimization and Control in NextG Cellular Networks NSDI 2024 Effective Causal Discovery under Identifiable Heteroscedastic Noise Model AAAI 2024 Effective Federated Graph Matching ICML 2024 Effectiveness of Constant Stepsize in Markovian LSA and Statistical Inference AAAI 2024