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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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828
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2000
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Papers (including subtopics)

Interpretation of NLP models through input marginalization EMNLP 2020 Interpreting Predictions of NLP Models EMNLP 2020 INTERSPEECH 2020 Deep Noise Suppression Challenge: A Fully Convolutional Recurrent Network (FCRN) for Joint Dereverberation and Denoising Interspeech 2020 Intrinsically Motivated Discovery of Diverse Patterns in Self-Organizing Systems ICLR 2020 Intrinsic Evaluation of Summarization Datasets EMNLP 2020 Inverse Learning of Symmetries NeurIPS 2020 Invertible Generative Modeling using Linear Rational Splines AISTATS 2020 Investigating Cross-Linguistic Adjective Ordering Tendencies with a Latent-Variable Model EMNLP 2020 Involutive MCMC: a Unifying Framework ICML 2020 IPBoost – Non-Convex Boosting via Integer Programming ICML 2020 IPO: Interior-Point Policy Optimization under Constraints AAAI 2020 Is a Good Representation Sufficient for Sample Efficient Reinforcement Learning? ICLR 2020 Is Big Data Performance Reproducible in Modern Cloud Networks? NSDI 2020 Is Local SGD Better than Minibatch SGD? ICML 2020 Is Long Horizon RL More Difficult Than Short Horizon RL? NeurIPS 2020 Is normalization indispensable for training deep neural network? NeurIPS 2020 Is Plug-in Solver Sample-Efficient for Feature-based Reinforcement Learning? NeurIPS 2020 ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding NeurIPS 2020 Is the Best Better? Bayesian Statistical Model Comparison for Natural Language Processing EMNLP 2020 Is There a Trade-Off Between Fairness and Accuracy? A Perspective Using Mismatched Hypothesis Testing ICML 2020 Is the Skip Connection Provable to Reform the Neural Network Loss Landscape? IJCAI 2020 Is Your Classifier Actually Biased? Measuring Fairness under Uncertainty with Bernstein Bounds ACL 2020 Iterative Context-Aware Graph Inference for Visual Dialog CVPR 2020 Iterative Refinement in the Continuous Space for Non-Autoregressive Neural Machine Translation EMNLP 2020 Iterative Semi-parametric Dynamics Model Learning For Autonomous Racing CoRL 2020