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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)

Are Neural Topic Models Broken? EMNLP 2022 A Reparameterization of Mixtures of Truncated Basis Functions and its Applications PGM 2022 A Reparametrization-Invariant Sharpness Measure Based on Information Geometry NeurIPS 2022 Are reported accuracies in the clinical speech machine learning literature overoptimistic? Interspeech 2022 A Resilient Distributed Boosting Algorithm ICML 2022 A Robustness Evaluation Framework for Argument Mining COLING 2022 A Robust Phased Elimination Algorithm for Corruption-Tolerant Gaussian Process Bandits NeurIPS 2022 A Sampling-Based Approach for Efficient Clustering in Large Datasets CVPR 2022 ASAP.SGD: Instance-based Adaptiveness to Staleness in Asynchronous SGD ICML 2022 A Scalable Model Specialization Framework for Training and Inference using Submodels and its Application to Speech Model Personalization Interspeech 2022 A Sharp Memory-Regret Trade-off for Multi-Pass Streaming Bandits COLT 2022 A Simple and Efficient Sampling-based Algorithm for General Reachability Analysis L4DC 2022 A Simple and Optimal Policy Design for Online Learning with Safety against Heavy-tailed Risk NeurIPS 2022 A Simple and Provably Efficient Algorithm for Asynchronous Federated Contextual Linear Bandits NeurIPS 2022 A Simple Decentralized Cross-Entropy Method NeurIPS 2022 A Simple Episodic Linear Probe Improves Visual Recognition in the Wild CVPR 2022 A Simple Guard for Learned Optimizers ICML 2022 A Simple Hash-Based Early Exiting Approach For Language Understanding and Generation ACL 2022 A Simple Log-based Loss Function for Ordinal Text Classification COLING 2022 A Simple Reward-free Approach to Constrained Reinforcement Learning ICML 2022 A Simple yet Universal Strategy for Online Convex Optimization ICML 2022 A Simplified Benchmark for Ambiguous Explanations of Knowledge Graph Link Prediction Using Relational Graph Convolutional Networks (Student Abstract) AAAI 2022 A Single-Loop Gradient Descent and Perturbed Ascent Algorithm for Nonconvex Functional Constrained Optimization ICML 2022 A Single-timescale Analysis for Stochastic Approximation with Multiple Coupled Sequences NeurIPS 2022 A Single-Timescale Method for Stochastic Bilevel Optimization AISTATS 2022