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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)

Extensions to the Proximal Distance Method of Constrained Optimization JMLR 2022 Extracting Operator Trees from Model Embeddings EMNLP 2022 Extracting Targeted Training Data from ASR Models, and How to Mitigate It Interspeech 2022 Extra-Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods NeurIPS 2022 Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study NeurIPS 2022 EZNAS: Evolving Zero-Cost Proxies For Neural Architecture Scoring NeurIPS 2022 Factored DRO: Factored Distributionally Robust Policies for Contextual Bandits NeurIPS 2022 Factorization Approach for Low-complexity Matrix Completion Problems: Exponential Number of Spurious Solutions and Failure of Gradient Methods AISTATS 2022 FactorVAE: A Probabilistic Dynamic Factor Model Based on Variational Autoencoder for Predicting Cross-Sectional Stock Returns AAAI 2022 Failure and success of the spectral bias prediction for Laplace Kernel Ridge Regression: the case of low-dimensional data ICML 2022 Failure Prediction with Statistical Guarantees for Vision-Based Robot Control RSS 2022 Fair and Efficient Allocations Without Obvious Manipulations NeurIPS 2022 Fair and Optimal Decision Trees: A Dynamic Programming Approach NeurIPS 2022 Fair Bayes-Optimal Classifiers Under Predictive Parity NeurIPS 2022 Fairness-Aware PAC Learning from Corrupted Data JMLR 2022 Fairness Trade-Offs and Partial Debiasing ACML 2022 Fairness Transferability Subject to Bounded Distribution Shift NeurIPS 2022 Fair Representation Learning through Implicit Path Alignment ICML 2022 Faithful or Extractive? On Mitigating the Faithfulness-Abstractiveness Trade-off in Abstractive Summarization ACL 2022 Falsification before Extrapolation in Causal Effect Estimation NeurIPS 2022 Fast AdvProp ICLR 2022 Fast Algorithm for Low-Rank Tensor Completion in Delay-Embedded Space CVPR 2022 Fast algorithm for overcomplete order-3 tensor decomposition COLT 2022 Fast and accurate optimization on the orthogonal manifold without retraction AISTATS 2022 Fast and Efficient Restoration of Extremely Dark Light Fields WACV 2022