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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)

Regularizing Transformer-based Acoustic Models by Penalizing Attention Weights Interspeech 2022 Reinforcement Learning Augmented Asymptotically Optimal Index Policy for Finite-Horizon Restless Bandits AAAI 2022 Reinforcement Learning in a Birth and Death Process: Breaking the Dependence on the State Space NeurIPS 2022 Reinforcement Learning with Large Action Spaces for Neural Machine Translation COLING 2022 Reinforcement Learning with Logarithmic Regret and Policy Switches NeurIPS 2022 Reinforcement Learning with Non-Exponential Discounting NeurIPS 2022 Reinforcement Learning with Stochastic Reward Machines AAAI 2022 Relating the fundamental frequency of speech with EEG using a dilated convolutional network Interspeech 2022 Relational Reasoning via Set Transformers: Provable Efficiency and Applications to MARL NeurIPS 2022 Relational Surrogate Loss Learning ICLR 2022 Relaxing Equivariance Constraints with Non-stationary Continuous Filters NeurIPS 2022 RelaxLoss: Defending Membership Inference Attacks without Losing Utility ICLR 2022 Renyi Differential Privacy of Propose-Test-Release and Applications to Private and Robust Machine Learning NeurIPS 2022 Repairing Neural Networks by Leaving the Right Past Behind NeurIPS 2022 Representation Matters: Characterisation and Impossibility Results for Interval Aggregation IJCAI 2022 Representation Topology Divergence: A Method for Comparing Neural Network Representations. ICML 2022 Representing 3D Shapes With Probabilistic Directed Distance Fields CVPR 2022 Representing Mixtures of Word Embeddings with Mixtures of Topic Embeddings ICLR 2022 Reproducibility in Optimization: Theoretical Framework and Limits NeurIPS 2022 Reproducibility Issues for BERT-based Evaluation Metrics EMNLP 2022 Reproducibility Signals in Science: A preliminary analysis AACL 2022 Resampling Base Distributions of Normalizing Flows AISTATS 2022 Residual-Based Sampling for Online Outlier-Robust PCA ICML 2022 Residual bootstrap exploration for stochastic linear bandit UAI 2022 Resilient and Communication Efficient Learning for Heterogeneous Federated Systems ICML 2022