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

SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors AAAI 2021 Symbolic Dynamic Programming for Continuous State MDPs with Linear Program Transitions IJCAI 2021 Symbolic Music Generation with Transformer-GANs AAAI 2021 Symbolic Regression via Deep Reinforcement Learning Enhanced Genetic Programming Seeding NeurIPS 2021 Symbolic Search for Optimal Total-Order HTN Planning AAAI 2021 Symmetric Spaces for Graph Embeddings: A Finsler-Riemannian Approach ICML 2021 Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal Memory NeurIPS 2021 Systematic Analysis of Cluster Similarity Indices: How to Validate Validation Measures ICML 2021 Systematic Generalization on gSCAN: What is Nearly Solved and What is Next? EMNLP 2021 System Performance as a Function of Calibration Methods, Sample Size and Sampling Variability in Likelihood Ratio-Based Forensic Voice Comparison Interspeech 2021 Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model AAAI 2021 Tail-to-Tail Non-Autoregressive Sequence Prediction for Chinese Grammatical Error Correction ACL 2021 Taming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning NeurIPS 2021 Taming GANs with Lookahead-Minmax ICLR 2021 Taming heavy-tailed features by shrinkage AISTATS 2021 Taming Transformers for High-Resolution Image Synthesis CVPR 2021 Tangent Space Backpropagation for 3D Transformation Groups CVPR 2021 Tango: Declarative Semantics for Multiagent Communication Protocols IJCAI 2021 TARE: A Hierarchical Framework for Efficiently Exploring Complex 3D Environments RSS 2021 Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits ICLR 2021 Targeting the Benchmark: On Methodology in Current Natural Language Processing Research ACL 2021 Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State Entropy Estimate AAAI 2021 Task-Driven Out-of-Distribution Detection with Statistical Guarantees for Robot Learning CoRL 2021 Task-Optimal Exploration in Linear Dynamical Systems ICML 2021 Task similarity aware meta learning: theory-inspired improvement on MAML UAI 2021