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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

1
52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Agent-based Graph Neural Networks ICLR 2023 Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices NeurIPS 2023 Aggregating Multiple Heuristic Signals as Supervision for Unsupervised Automated Essay Scoring ACL 2023 A Gift from Label Smoothing: Robust Training with Adaptive Label Smoothing via Auxiliary Classifier under Label Noise AAAI 2023 A GNN-Guided Predict-and-Search Framework for Mixed-Integer Linear Programming ICLR 2023 Agnostically Learning Single-Index Models using Omnipredictors NeurIPS 2023 Agnostic Learning of General ReLU Activation Using Gradient Descent ICLR 2023 Agnostic PAC Learning of k-juntas Using L_2-Polynomial Regression AISTATS 2023 A Gradient Control Method for Backdoor Attacks on Parameter-Efficient Tuning ACL 2023 A graphon-signal analysis of graph neural networks NeurIPS 2023 A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning NeurIPS 2023 A Gromov-Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening ICML 2023 A Guide Through the Zoo of Biased SGD NeurIPS 2023 A High-dimensional Convergence Theorem for U-statistics with Applications to Kernel-based Testing COLT 2023 A Higher Precision Algorithm for Computing the $1$-Wasserstein Distance ICLR 2023 A Holistic View of Label Noise Transition Matrix in Deep Learning and Beyond ICLR 2023 AHPA: Adaptive Horizontal Pod Autoscaling Systems on Alibaba Cloud Container Service for Kubernetes AAAI 2023 A Hyperparameter Optimization Toolkit for Neural Machine Translation Research ACL 2023 AI and Decision Support for Sustainable Socio-Ecosystems IJCAI 2023 AI for Equitable, Data-Driven Decisions in Public Health AAAI 2023 Aiming towards the minimizers: fast convergence of SGD for overparametrized problems NeurIPS 2023 Air-Decoding: Attribute Distribution Reconstruction for Decoding-Time Controllable Text Generation EMNLP 2023 A Kernel-Based View of Language Model Fine-Tuning ICML 2023 A Kernelized Stein Discrepancy for Biological Sequences ICML 2023 A Kernel Perspective of Skip Connections in Convolutional Networks ICLR 2023