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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)

Tübingen-CL at SemEval-2024 Task 1: Ensemble Learning for Semantic Relatedness Estimation SemEval 2024 TULIP: Transformer for Upsampling of LiDAR Point Clouds CVPR 2024 TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks NeurIPS 2024 Tuning-free Estimation and Inference of Cumulative Distribution Function under Local Differential Privacy ICML 2024 Tuning-Free Stochastic Optimization ICML 2024 Tuning Stable Rank Shrinkage: Aiming at the Overlooked Structural Risk in Fine-tuning CVPR 2024 TuringQ: Benchmarking AI Comprehension in Theory of Computation EMNLP 2024 Turning Dust into Gold: Distilling Complex Reasoning Capabilities from LLMs by Leveraging Negative Data AAAI 2024 Turnstile ℓ_p leverage score sampling with applications ICML 2024 Turn Waste into Worth: Rectifying Top-k Router of MoE EMNLP 2024 Two Birds with One Stone: Enhancing Uncertainty Quantification and Interpretability with Graph Functional Neural Process AISTATS 2024 Two Facets of SDE Under an Information-Theoretic Lens: Generalization of SGD via Training Trajectories and via Terminal States UAI 2024 Two Fists, One Heart: Multi-Objective Optimization Based Strategy Fusion for Long-tailed Learning ICML 2024 Two fundamental limits for uncertainty quantification in predictive inference COLT 2024 Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness ICML 2024 Two is Better Than One: Regularized Shrinkage of Large Minimum Variance Portfolios JMLR 2024 Two-Stage Evolutionary Reinforcement Learning for Enhancing Exploration and Exploitation AAAI 2024 Two-timescale Derivative Free Optimization for Performative Prediction with Markovian Data ICML 2024 Two-timescale Extragradient for Finding Local Minimax Points ICLR 2024 Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning NeurIPS 2024 UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems NeurIPS 2024 UDPM: Upsampling Diffusion Probabilistic Models NeurIPS 2024 UEGP: Unified Expert-Guided Pre-training for Knowledge Rekindle NAACL 2024 UFC-Net: Unrolling Fixed-point Continuous Network for Deep Compressive Sensing CVPR 2024 Ultrafast classical phylogenetic method beats large protein language models on variant effect prediction NeurIPS 2024