Papers
Low-Pass Filtering SGD for Recovering Flat Optima in the Deep Learning Optimization Landscape
Devansh Bisla, Jing Wang, Anna Choromanska
Maillard Sampling: Boltzmann Exploration Done Optimally
Jie Bian, Kwang-Sung Jun
Many processors, little time: MCMC for partitions via optimal transport couplings
Tin D. Nguyen, Brian L. Trippe, Tamara Broderick
Marginalising over Stationary Kernels with Bayesian Quadrature
Saad Hamid, Sebastian Schulze, Michael A. Osborne et al.
Marginalized Operators for Off-policy Reinforcement Learning
Yunhao Tang, Mark Rowland, Remi Munos et al.
Margin-distancing for safe model explanation
Tom Yan, Chicheng Zhang
Masked Training of Neural Networks with Partial Gradients
Amirkeivan Mohtashami, Martin Jaggi, Sebastian Stich
Mean Nyström Embeddings for Adaptive Compressive Learning
Antoine Chatalic, Luigi Carratino, Ernesto De Vito et al.
Measuring the robustness of Gaussian processes to kernel choice
William T. Stephenson, Soumya Ghosh, Tin D. Nguyen et al.
Metalearning Linear Bandits by Prior Update
Amit Peleg, Naama Pearl, Ron Meir
Meta Learning MDPs with linear transition models
Robert Müller, Aldo Pacchiano
Minimal Expected Regret in Linear Quadratic Control
Yassir Jedra, Alexandre Proutiere
Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals with Application to Proximal Causal Inference
Amiremad Ghassami, Andrew Ying, Ilya Shpitser et al.
Minimax Optimization: The Case of Convex-Submodular
Arman Adibi, Aryan Mokhtari, Hamed Hassani
Mitigating Bias in Calibration Error Estimation
Rebecca Roelofs, Nicholas Cain, Jonathon Shlens et al.
MLDemon:Deployment Monitoring for Machine Learning Systems
Tony Ginart, Martin Jinye Zhang, James Zou
Mode estimation on matrix manifolds: Convergence and robustness
Hiroaki Sasaki, Jun-Ichiro Hirayama, Takafumi Kanamori
Model-agnostic out-of-distribution detection using combined statistical tests
Federico Bergamin, Pierre-Alexandre Mattei, Jakob Drachmann Havtorn et al.
Model-free Policy Learning with Reward Gradients
Qingfeng Lan, Samuele Tosatto, Homayoon Farrahi et al.
Modeling Conditional Dependencies in Multiagent Trajectories
Yannick Rudolph, Ulf Brefeld
Modelling Non-Smooth Signals with Complex Spectral Structure
Wessel P. Bruinsma, Martin Tegnér, Richard E. Turner
Moment Matching Deep Contrastive Latent Variable Models
Ethan Weinberger, Nicasia Beebe-Wang, Su-In Lee
Momentum Accelerates the Convergence of Stochastic AUPRC Maximization
Guanghui Wang, Ming Yang, Lijun Zhang et al.
MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption
Alexander Bartler, Andre Bühler, Felix Wiewel et al.
Multi-armed Bandit Algorithm against Strategic Replication
Suho Shin, Seungjoon Lee, Jungseul Ok