Papers
4,025 papers found
Model Consistency for Learning with Mirror-Stratifiable Regularizers
Jalal Fadili, Guillaume Garrigos, Jérôme Malick et al.
Model-Free Linear Quadratic Control via Reduction to Expert Prediction
Yasin Abbasi-Yadkori, Nevena Lazic, Csaba Szepesvari
Modeling simple structures and geometry for better stochastic optimization algorithms
Hilal Asi, John C. Duchi
Modularity-based Sparse Soft Graph Clustering
Alexandre Hollocou, Thomas Bonald, Marc Lelarge
Multi-Observation Regression
Rafael Frongillo, Nishant A. Mehta, Tom Morgan et al.
Multi-Order Information for Working Set Selection of Sequential Minimal Optimization
Qimao Yang, Changrong Li, Jun Guo
Multiscale Gaussian Process Level Set Estimation
Shubhanshu Shekhar, Tara Javidi
Multitask Metric Learning: Theory and Algorithm
Boyu Wang, Hejia Zhang, Peng Liu et al.
Multi-Task Time Series Analysis applied to Drug Response Modelling
Alex Bird, Chris Williams, Christopher Hawthorne
Nearly Optimal Adaptive Procedure with Change Detection for Piecewise-Stationary Bandit
Yang Cao, Zheng Wen, Branislav Kveton et al.
Near Optimal Algorithms for Hard Submodular Programs with Discounted Cooperative Costs
Rishabh Iyer, Jeffrey Bilmes
Negative Momentum for Improved Game Dynamics
Gauthier Gidel, Reyhane Askari Hemmat, Mohammad Pezeshki et al.
Noisy Blackbox Optimization using Multi-fidelity Queries: A Tree Search Approach
Rajat Sen, Kirthevasan Kandasamy, Sanjay Shakkottai
Nonconvex Matrix Factorization from Rank-One Measurements
Yuanxin Li, Cong Ma, Yuxin Chen et al.
Nonlinear Acceleration of Primal-Dual Algorithms
Raghu Bollapragada, Damien Scieur, Alexandre d’Aspremont
Nonlinear ICA Using Auxiliary Variables and Generalized Contrastive Learning
Aapo Hyvarinen, Hiroaki Sasaki, Richard Turner
Non-linear process convolutions for multi-output Gaussian processes
Mauricio A. Alvarez, Wil Ward, Cristian Guarnizo
On Connecting Stochastic Gradient MCMC and Differential Privacy
Bai Li, Changyou Chen, Hao Liu et al.
On Constrained Nonconvex Stochastic Optimization: A Case Study for Generalized Eigenvalue Decomposition
Zhehui Chen, Xingguo Li, Lin Yang et al.
On Euclidean k-Means Clustering with alpha-Center Proximity
Amit Deshpande, Anand Louis, Apoorv Singh
On Kernel Derivative Approximation with Random Fourier Features
Zoltan Szabo, Bharath Sriperumbudur
Online Algorithm for Unsupervised Sensor Selection
Arun Verma, Manjesh Hanawal, Csaba Szepesvari et al.
Online Decentralized Leverage Score Sampling for Streaming Multidimensional Time Series
Rui Xie, Zengyan Wang, Shuyang Bai et al.
Online Learning in Kernelized Markov Decision Processes
Sayak Ray Chowdhury, Aditya Gopalan