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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
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2000
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Papers (including subtopics)

Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning ICML 2021 Tighter Bounds on the Log Marginal Likelihood of Gaussian Process Regression Using Conjugate Gradients ICML 2021 Tighter Expected Generalization Error Bounds via Wasserstein Distance NeurIPS 2021 Tighter Generalization Bounds for Iterative Differentially Private Learning Algorithms UAI 2021 Tighter Risk Certificates for Neural Networks JMLR 2021 Tight High Probability Bounds for Linear Stochastic Approximation with Fixed Stepsize NeurIPS 2021 Tight Regret Bounds for Infinite-armed Linear Contextual Bandits AISTATS 2021 Tight sampling and discarding bounds for scenario programs with an arbitrary number of removed samples L4DC 2021 Tilted Empirical Risk Minimization ICLR 2021 Tilting the playing field: Dynamical loss functions for machine learning ICML 2021 Time Adaptive Recurrent Neural Network CVPR 2021 Time-dependent Entity Embedding is not All You Need: A Re-evaluation of Temporal Knowledge Graph Completion Models under a Unified Framework EMNLP 2021 Time Discretization-Invariant Safe Action Repetition for Policy Gradient Methods NeurIPS 2021 Time-independent Generalization Bounds for SGLD in Non-convex Settings NeurIPS 2021 Timeline Summarization based on Event Graph Compression via Time-Aware Optimal Transport EMNLP 2021 Time-Multiplexed Coded Aperture Imaging: Learned Coded Aperture and Pixel Exposures for Compressive Imaging Systems ICCV 2021 TIMERS: Document-level Temporal Relation Extraction ACL 2021 T-LoHo: A Bayesian Regularization Model for Structured Sparsity and Smoothness on Graphs NeurIPS 2021 TNASP: A Transformer-based NAS Predictor with a Self-evolution Framework NeurIPS 2021 Tomographic Auto-Encoder: Unsupervised Bayesian Recovery of Corrupted Data ICLR 2021 Tool- and Domain-Agnostic Parameterization of Style Transfer Effects Leveraging Pretrained Perceptual Metrics IJCAI 2021 Too Much in Common: Shifting of Embeddings in Transformer Language Models and its Implications NAACL 2021 To Optimize, or Not to Optimize, That Is the Question: TelU-KU Models for WMT21 Large-Scale Multilingual Machine Translation EMNLP 2021 Top-k eXtreme Contextual Bandits with Arm Hierarchy ICML 2021 Top-k Ranking Bayesian Optimization AAAI 2021