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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
352
828
3,646
5,854
2000
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Papers (including subtopics)

Mode recovery in neural autoregressive sequence modeling ACL 2021 Modified Frank Wolfe in Probability Space NeurIPS 2021 Modular Gaussian Processes for Transfer Learning NeurIPS 2021 Modularity in Reinforcement Learning via Algorithmic Independence in Credit Assignment ICML 2021 Molecule Optimization by Explainable Evolution ICLR 2021 Moment-Based Variational Inference for Stochastic Differential Equations AISTATS 2021 Momentum Centering and Asynchronous Update for Adaptive Gradient Methods NeurIPS 2021 Momentum Improves Optimization on Riemannian Manifolds AISTATS 2021 Momentum Residual Neural Networks ICML 2021 Monotonic Kronecker-Factored Lattice ICLR 2021 Monte Carlo Filtering Objectives IJCAI 2021 Monte Carlo Scene Search for 3D Scene Understanding CVPR 2021 MonteFloor: Extending MCTS for Reconstructing Accurate Large-Scale Floor Plans ICCV 2021 Moreau-Yosida f-divergences ICML 2021 More Identifiable yet Equally Performant Transformers for Text Classification ACL 2021 More Powerful and General Selective Inference for Stepwise Feature Selection using Homotopy Method ICML 2021 Moser Flow: Divergence-based Generative Modeling on Manifolds NeurIPS 2021 Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices NeurIPS 2021 Motion Forecasting with Unlikelihood Training in Continuous Space CoRL 2021 MOTS: Minimax Optimal Thompson Sampling ICML 2021 Move Beyond Trajectories: Distribution Space Coupling for Crowd Navigation RSS 2021 MRF-Chat: Improving Dialogue with Markov Random Fields EMNLP 2021 MTAdam: Automatic Balancing of Multiple Training Loss Terms EMNLP 2021 MT-Telescope: An interactive platform for contrastive evaluation of MT systems ACL 2021 Multi-accent Speech Separation with One Shot Learning ACL 2021