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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)

Non-Stochastic Multi-Player Multi-Armed Bandits: Optimal Rate With Collision Information, Sublinear Without COLT 2020 Non-Topical Coherence in Social Talk: A Call for Dialogue Model Enrichment ACL 2020 No-Regret and Incentive-Compatible Online Learning ICML 2020 No-regret Exploration in Contextual Reinforcement Learning UAI 2020 No-Regret Exploration in Goal-Oriented Reinforcement Learning ICML 2020 No-Regret Learning and Mixed Nash Equilibria: They Do Not Mix NeurIPS 2020 No-Regret Prediction in Marginally Stable Systems COLT 2020 Normalized Flat Minima: Exploring Scale Invariant Definition of Flat Minima for Neural Networks Using PAC-Bayesian Analysis ICML 2020 Normalized Loss Functions for Deep Learning with Noisy Labels ICML 2020 Norm-Based Curriculum Learning for Neural Machine Translation ACL 2020 Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search AAAI 2020 Not All Claims are Created Equal: Choosing the Right Statistical Approach to Assess Hypotheses ACL 2020 NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm (Extended Abstract) IJCAI 2020 NTUNLPL at FinCausal 2020, Task 2:Improving Causality Detection Using Viterbi Decoder COLING 2020 NUIG: Multitasking Self-attention based approach to SigTyp 2020 Shared Task EMNLP 2020 Obfuscation via Information Density Estimation AISTATS 2020 Observe Before Play: Multi-Armed Bandit with Pre-Observations AAAI 2020 Obtaining Adjustable Regularization for Free via Iterate Averaging ICML 2020 OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation UAI 2020 ODE-Inspired Analysis for the Biological Version of Oja’s Rule in Solving Streaming PCA COLT 2020 Ode to an ODE NeurIPS 2020 Off-Policy Evaluation and Learning for External Validity under a Covariate Shift NeurIPS 2020 Off-Policy Evaluation via the Regularized Lagrangian NeurIPS 2020 Off-Policy Interval Estimation with Lipschitz Value Iteration NeurIPS 2020 Old Dog Learns New Tricks: Randomized UCB for Bandit Problems AISTATS 2020