Papers
Making AI Forget You: Data Deletion in Machine Learning
Antonio Ginart, Melody Guan, Gregory Valiant et al.
Making the Cut: A Bandit-based Approach to Tiered Interviewing
Candice Schumann, Zhi Lang, Jeffrey Foster et al.
Manifold denoising by Nonlinear Robust Principal Component Analysis
He Lyu, Ningyu Sha, Shuyang Qin et al.
Manifold-regression to predict from MEG/EEG brain signals without source modeling
David Sabbagh, Pierre Ablin, Gael Varoquaux et al.
Manipulating a Learning Defender and Ways to Counteract
Jiarui Gan, Qingyu Guo, Long Tran-Thanh et al.
Mapping State Space using Landmarks for Universal Goal Reaching
Zhiao Huang, Fangchen Liu, Hao Su
Margin-Based Generalization Lower Bounds for Boosted Classifiers
Allan Grønlund, Lior Kamma, Kasper Green Larsen et al.
MarginGAN: Adversarial Training in Semi-Supervised Learning
Jinhao Dong, Tong Lin
Markov Random Fields for Collaborative Filtering
Harald Steck
Massively scalable Sinkhorn distances via the Nyström method
Jason Altschuler, Francis Bach, Alessandro Rudi et al.
MAVEN: Multi-Agent Variational Exploration
Anuj Mahajan, Tabish Rashid, Mikayel Samvelyan et al.
MaxGap Bandit: Adaptive Algorithms for Approximate Ranking
Sumeet Katariya, Ardhendu Tripathy, Robert Nowak
Maximum Entropy Monte-Carlo Planning
Chenjun Xiao, Ruitong Huang, Jincheng Mei et al.
Maximum Expected Hitting Cost of a Markov Decision Process and Informativeness of Rewards
Falcon Dai, Matthew Walter
Maximum Mean Discrepancy Gradient Flow
Michael Arbel, Anna Korba, Adil SALIM et al.
Max-value Entropy Search for Multi-Objective Bayesian Optimization
Syrine Belakaria, Aryan Deshwal, Janardhan Rao Doppa
McDiarmid-Type Inequalities for Graph-Dependent Variables and Stability Bounds
Rui (Ray) Zhang, Xingwu Liu, Yuyi Wang et al.
MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies
Xue Bin Peng, Michael Chang, Grace Zhang et al.
MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis
Kundan Kumar, Rithesh Kumar, Thibault de Boissiere et al.
Memory Efficient Adaptive Optimization
Rohan Anil, Vineet Gupta, Tomer Koren et al.
Memory-oriented Decoder for Light Field Salient Object Detection
Miao Zhang, Jingjing Li, JI WEI et al.
Meta Architecture Search
Albert Shaw, Wei Wei, Weiyang Liu et al.
Meta-Curvature
Eunbyung Park, Junier B Oliva
MetaInit: Initializing learning by learning to initialize
Yann N. Dauphin, Samuel Schoenholz
Meta-Inverse Reinforcement Learning with Probabilistic Context Variables
Lantao Yu, Tianhe Yu, Chelsea Finn et al.