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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)

Modular Switch Programming Under Resource Constraints NSDI 2022 Module-Aware Optimization for Auxiliary Learning NeurIPS 2022 MoEfication: Transformer Feed-forward Layers are Mixtures of Experts ACL 2022 Moment Distributionally Robust Tree Structured Prediction NeurIPS 2022 Momentum Accelerates the Convergence of Stochastic AUPRC Maximization AISTATS 2022 Momentum Aggregation for Private Non-convex ERM NeurIPS 2022 Monotone Abstractions in Ontology-Based Data Management AAAI 2022 Monotone Learning COLT 2022 Monotone-Value Neural Networks: Exploiting Preference Monotonicity in Combinatorial Assignment IJCAI 2022 Monotonic Differentiable Sorting Networks ICLR 2022 Monotonicity regularization: Improved penalties and novel applications to disentangled representation learning and robust classification UAI 2022 Monte Carlo Tree Descent for Black-Box Optimization NeurIPS 2022 Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization NeurIPS 2022 Monte Carlo Tree Search for Interpreting Stress in Natural Language ACL 2022 More Efficient Sampling for Tensor Decomposition With Worst-Case Guarantees ICML 2022 MoReL: Multi-omics Relational Learning ICLR 2022 More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming JMLR 2022 More Than a Toy: Random Matrix Models Predict How Real-World Neural Representations Generalize ICML 2022 MOSRA: Joint Mean Opinion Score and Room Acoustics Speech Quality Assessment Interspeech 2022 Most Activation Functions Can Win the Lottery Without Excessive Depth NeurIPS 2022 Movement Penalized Bayesian Optimization with Application to Wind Energy Systems NeurIPS 2022 Mr.BiQ: Post-Training Non-Uniform Quantization Based on Minimizing the Reconstruction Error CVPR 2022 MR-P: A Parallel Decoding Algorithm for Iterative Refinement Non-Autoregressive Translation ACL 2022 MS-COMET: More and Better Human Judgements Improve Metric Performance EMNLP 2022 MSR-NV: Neural Vocoder Using Multiple Sampling Rates Interspeech 2022