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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)

Oblivious Sketching-based Central Path Method for Linear Programming ICML 2021 Observation-Free Attacks on Stochastic Bandits NeurIPS 2021 OCTIS: Comparing and Optimizing Topic models is Simple! EACL 2021 Offline Constrained Multi-Objective Reinforcement Learning via Pessimistic Dual Value Iteration NeurIPS 2021 Offline Contextual Bandits with Overparameterized Models ICML 2021 Offline detection of change-points in the mean for stationary graph signals. AISTATS 2021 Offline Meta Reinforcement Learning -- Identifiability Challenges and Effective Data Collection Strategies NeurIPS 2021 Offline Model-Based Optimization via Normalized Maximum Likelihood Estimation ICLR 2021 Offline Reinforcement Learning with Fisher Divergence Critic Regularization ICML 2021 Off-Policy Confidence Sequences ICML 2021 Offset-free setpoint tracking using neural network controllers L4DC 2021 Of Moments and Matching: A Game-Theoretic Framework for Closing the Imitation Gap ICML 2021 On a Combination of Alternating Minimization and Nesterov’s Momentum ICML 2021 On ADMM in Deep Learning: Convergence and Saturation-Avoidance JMLR 2021 On Avoiding the Union Bound When Answering Multiple Differentially Private Queries COLT 2021 On Belief Change for Multi-Label Classifier Encodings IJCAI 2021 On Biasing Transformer Attention Towards Monotonicity NAACL 2021 On Calibration and Out-of-Domain Generalization NeurIPS 2021 On Characterizing GAN Convergence Through Proximal Duality Gap ICML 2021 On Convergence of Gradient Expected Sarsa(λ) AAAI 2021 On Effective Scheduling of Model-based Reinforcement Learning NeurIPS 2021 On efficient multilevel Clustering via Wasserstein distances JMLR 2021 One for More: Selecting Generalizable Samples for Generalizable ReID Model AAAI 2021 One More Step Towards Reality: Cooperative Bandits with Imperfect Communication NeurIPS 2021 On Empirical Bayes Variational Autoencoder: An Excess Risk Bound COLT 2021