Papers
Lovasz Convolutional Networks
Prateek Yadav, Madhav Nimishakavi, Naganand Yadati et al.
Low-Dimensional Density Ratio Estimation for Covariate Shift Correction
Petar Stojanov, Mingming Gong, Jaime Carbonell et al.
Low-Precision Random Fourier Features for Memory-constrained Kernel Approximation
Jian Zhang, Avner May, Tri Dao et al.
Markov Properties of Discrete Determinantal Point Processes
Kayvan Sadeghi, Alessandro Rinaldo
Matroids, Matchings, and Fairness
Flavio Chierichetti, Ravi Kumar, Silvio Lattanzi et al.
MaxHedge: Maximizing a Maximum Online
Stephen Pasteris, Fabio Vitale, Kevin Chan et al.
Minimum Volume Topic Modeling
Byoungwook Jang, Alfred Hero
Mixing of Hamiltonian Monte Carlo on strongly log-concave distributions 2: Numerical integrators
Oren Mangoubi, Aaron Smith
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