Papers
4,025 papers found
Learning Nash Equilibrium for General-Sum Markov Games from Batch Data
Julien Perolat, Florian Strub, Bilal Piot et al.
Learning Nonparametric Forest Graphical Models with Prior Information
Yuancheng Zhu, Zhe Liu, Siqi Sun
Learning Optimal Interventions
Jonas Mueller, David Reshef, George Du et al.
Learning Structured Weight Uncertainty in Bayesian Neural Networks
Shengyang Sun, Changyou Chen, Lawrence Carin
Learning the Network Structure of Heterogeneous Data via Pairwise Exponential Markov Random Fields
Youngsuk Park, David Hallac, Stephen Boyd et al.
Learning Theory for Conditional Risk Minimization
Alexander Zimin, Christoph Lampert
Learning Time Series Detection Models from Temporally Imprecise Labels
Roy Adams, Ben Marlin
Learning with Feature Feedback: from Theory to Practice
Stefanos Poulis, Sanjoy Dasgupta
Least-Squares Log-Density Gradient Clustering for Riemannian Manifolds
Mina Ashizawa, Hiroaki Sasaki, Tomoya Sakai et al.
Less than a Single Pass: Stochastically Controlled Stochastic Gradient
Lihua Lei, Michael Jordan
Linear Convergence of Stochastic Frank Wolfe Variants
Donald Goldfarb, Garud Iyengar, Chaoxu Zhou
Linear Thompson Sampling Revisited
Marc Abeille, Alessandro Lazaric
Linking Micro Event History to Macro Prediction in Point Process Models
Yichen Wang, Xiaojing Ye, Haomin Zhou et al.
Local Group Invariant Representations via Orbit Embeddings
Anant Raj, Abhishek Kumar, Youssef Mroueh et al.
Localized Lasso for High-Dimensional Regression
Makoto Yamada, Takeuchi Koh, Tomoharu Iwata et al.
Local Perturb-and-MAP for Structured Prediction
Gedas Bertasius, Qiang Liu, Lorenzo Torresani et al.
Lower Bounds on Active Learning for Graphical Model Selection
Jonathan Scarlett, Volkan Cevher
Markov Chain Truncation for Doubly-Intractable Inference
Colin Wei, Iain Murray
Minimax Approach to Variable Fidelity Data Interpolation
Alexey Zaytsev, Evgeny Burnaev
Minimax Density Estimation for Growing Dimension
Daniel McDonald
Minimax Gaussian Classification & Clustering
Tianyang Li, Xinyang Yi, Constantine Carmanis et al.
Minimax-optimal semi-supervised regression on unknown manifolds
Amit Moscovich, Ariel Jaffe, Nadler Boaz
Modal-set estimation with an application to clustering
Heinrich Jiang, Samory Kpotufe
Nearly Instance Optimal Sample Complexity Bounds for Top-k Arm Selection
Lijie Chen, Jian Li, Mingda Qiao