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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)

DFKI-NLP at SemEval-2024 Task 2: Towards Robust LLMs Using Data Perturbations and MinMax Training SemEval 2024 D-Flow: Differentiating through Flows for Controlled Generation ICML 2024 DHA: Learning Decoupled-Head Attention from Transformer Checkpoints via Adaptive Heads Fusion NeurIPS 2024 Diagonalisation SGD: Fast & Convergent SGD for Non-Differentiable Models via Reparameterisation and Smoothing AISTATS 2024 Dichotomy of Early and Late Phase Implicit Biases Can Provably Induce Grokking ICLR 2024 Dictionary Contrastive Learning for Efficient Local Supervision without Auxiliary Networks ICLR 2024 DiffAvatar: Simulation-Ready Garment Optimization with Differentiable Simulation CVPR 2024 Diffeomorphic interpolation for efficient persistence-based topological optimization NeurIPS 2024 Diffeomorphic Mesh Deformation via Efficient Optimal Transport for Cortical Surface Reconstruction ICLR 2024 Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language Models NeurIPS 2024 Differentiability and Optimization of Multiparameter Persistent Homology ICML 2024 Differentiable Combinatorial Scheduling at Scale ICML 2024 Differentiable Display Photometric Stereo CVPR 2024 Differentiable Distributionally Robust Optimization Layers ICML 2024 Differentiable Learning of Generalized Structured Matrices for Efficient Deep Neural Networks ICLR 2024 Differentiable Model Scaling using Differentiable Topk ICML 2024 Differentiable Quantum Computing for Large-scale Linear Control NeurIPS 2024 Differentiable Robust Model Predictive Control RSS 2024 Differentiable Structure Learning with Partial Orders NeurIPS 2024 Differentiable Time-Varying Linear Prediction in the Context of End-to-End Analysis-by-Synthesis Interspeech 2024 Differentiable Weightless Neural Networks ICML 2024 Differentially Private Conditional Independence Testing AISTATS 2024 Differentially Private Decentralized Learning with Random Walks ICML 2024 Differentially Private Domain Adaptation with Theoretical Guarantees ICML 2024 Differentially Private Equivalence Testing for Continuous Distributions and Applications NeurIPS 2024