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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)

Triangle and Four Cycle Counting with Predictions in Graph Streams ICLR 2022 Triangular Flows for Generative Modeling: Statistical Consistency, Smoothness Classes, and Fast Rates AISTATS 2022 Trimmed Maximum Likelihood Estimation for Robust Generalized Linear Model NeurIPS 2022 Trivial or Impossible --- dichotomous data difficulty masks model differences (on ImageNet and beyond) ICLR 2022 Truly Deterministic Policy Optimization NeurIPS 2022 Truncated proposals for scalable and hassle-free simulation-based inference NeurIPS 2022 Truncation Sampling as Language Model Desmoothing EMNLP 2022 Trustworthy Monte Carlo NeurIPS 2022 Truthful Aggregation of Budget Proposals with Proportionality Guarantees AAAI 2022 Truthful Cake Sharing AAAI 2022 TruthfulQA: Measuring How Models Mimic Human Falsehoods ACL 2022 Truth-Tracking via Approval Voting: Size Matters AAAI 2022 TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning NeurIPS 2022 Tuning-Free Generalized Hamiltonian Monte Carlo AISTATS 2022 Turbocharging Solution Concepts: Solving NEs, CEs and CCEs with Neural Equilibrium Solvers NeurIPS 2022 TURF: Two-Factor, Universal, Robust, Fast Distribution Learning Algorithm ICML 2022 Twist Decoding: Diverse Generators Guide Each Other EMNLP 2022 Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart CVPR 2022 Two-Sample Testing on Ranked Preference Data and the Role of Modeling Assumptions JMLR 2022 Two-way Sparse Network Inference for Count Data AISTATS 2022 Typological Word Order Correlations with Logistic Brownian Motion NAACL 2022 UDC: Unified DNAS for Compressible TinyML Models for Neural Processing Units NeurIPS 2022 ULFRI at SemEval-2022 Task 4: Leveraging uncertainty and additional knowledge for patronizing and condescending language detection SemEval 2022 Unbiased and Efficient Sampling of Dependency Trees EMNLP 2022 Unbiased estimators for random design regression JMLR 2022