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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)

Not All Parameters Should Be Treated Equally: Deep Safe Semi-supervised Learning under Class Distribution Mismatch AAAI 2022 Not All Poisons are Created Equal: Robust Training against Data Poisoning ICML 2022 Not too little, not too much: a theoretical analysis of graph (over)smoothing NeurIPS 2022 Novel Ensemble Diversification Methods for Open-Set Scenarios WACV 2022 Novel Min-Max Reformulations of Linear Inverse Problems JMLR 2022 Nuances in Margin Conditions Determine Gains in Active Learning AISTATS 2022 Number Theory Meets Linguistics: Modelling Noun Pluralisation Across 1497 Languages Using 2-adic Metrics AACL 2022 Numerical Approximations of Log Gaussian Cox Process (Student Abstract) AAAI 2022 Numerical Optimizations for Weighted Low-rank Estimation on Language Models EMNLP 2022 Nystrom Regularization for Time Series Forecasting JMLR 2022 Objective Metrics to Evaluate Residual-Echo Suppression During Double-Talk in the Stereophonic Case Interspeech 2022 Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation NeurIPS 2022 Obtaining Calibrated Probabilities with Personalized Ranking Models AAAI 2022 Occupancy-SLAM: Simultaneously Optimizing Robot Poses and Continuous Occupancy Map RSS 2022 ODE Transformer: An Ordinary Differential Equation-Inspired Model for Sequence Generation ACL 2022 Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization ICLR 2022 Offline Policy Selection under Uncertainty AISTATS 2022 Offline Reinforcement Learning: Fundamental Barriers for Value Function Approximation COLT 2022 Offline reinforcement learning under value and density-ratio realizability: The power of gaps UAI 2022 Offline Reinforcement Learning with Realizability and Single-policy Concentrability COLT 2022 Offline stochastic shortest path: Learning, evaluation and towards optimality UAI 2022 Off-Policy Evaluation for Action-Dependent Non-stationary Environments NeurIPS 2022 Off-Policy Evaluation with Policy-Dependent Optimization Response NeurIPS 2022 Off-Policy Fitted Q-Evaluation with Differentiable Function Approximators: Z-Estimation and Inference Theory ICML 2022 Off-Policy Risk Assessment for Markov Decision Processes AISTATS 2022