Papers
Local Causal Discovery with Linear non-Gaussian Cyclic Models
Haoyue Dai, Ignavier Ng, Yujia Zheng et al.
Looping in the Human: Collaborative and Explainable Bayesian Optimization
Masaki Adachi, Brady Planden, David Howey et al.
Lower-level Duality Based Reformulation and Majorization Minimization Algorithm for Hyperparameter Optimization
He Chen, Haochen Xu, Rujun Jiang et al.
Low-rank MDPs with Continuous Action Spaces
Miruna Oprescu, Andrew Bennett, Nathan Kallus
LP-based Construction of DC Decompositions for Efficient Inference of Markov Random Fields
Chaitanya Murti, Dhruva Kashyap, Chiranjib Bhattacharyya
Making Better Use of Unlabelled Data in Bayesian Active Learning
Freddie Bickford Smith, Adam Foster, Tom Rainforth
Manifold-Aligned Counterfactual Explanations for Neural Networks
Asterios Tsiourvas, Wei Sun, Georgia Perakis
Maximum entropy GFlowNets with soft Q-learning
Sobhan Mohammadpour, Emmanuel Bengio, Emma Frejinger et al.
Mechanics of Next Token Prediction with Self-Attention
Yingcong Li, Yixiao Huang, Muhammed E. Ildiz et al.
Membership Testing in Markov Equivalence Classes via Independence Queries
Jiaqi Zhang, Kirankumar Shiragur, Caroline Uhler
Meta Learning in Bandits within shared affine Subspaces
Steven Bilaj, Sofien Dhouib, Setareh Maghsudi
MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization
Nguyen Hoang Khoi Do, Tanmoy Chowdhury, Chen Ling et al.
Mind the GAP: Improving Robustness to Subpopulation Shifts with Group-Aware Priors
Tim G. J. Rudner, Ya Shi Zhang, Andrew Gordon Wilson et al.
Minimax Excess Risk of First-Order Methods for Statistical Learning with Data-Dependent Oracles
Kevin Scaman, Mathieu Even, Batiste Le Bars et al.
Minimax optimal density estimation using a shallow generative model with a one-dimensional latent variable
Hyeok Kyu Kwon, Minwoo Chae
Minimizing Convex Functionals over Space of Probability Measures via KL Divergence Gradient Flow
Rentian Yao, Linjun Huang, Yun Yang
MINTY: Rule-based models that minimize the need for imputing features with missing values
Lena Stempfle, Fredrik Johansson
Mitigating Underfitting in Learning to Defer with Consistent Losses
Shuqi Liu, Yuzhou Cao, Qiaozhen Zhang et al.
Mixed Models with Multiple Instance Learning
Jan P. Engelmann, Alessandro Palma, Jakub M. Tomczak et al.
Mixed variational flows for discrete variables
Gian C. Diluvi, Benjamin Bloem-Reddy, Trevor Campbell
Mixture-of-Linear-Experts for Long-term Time Series Forecasting
Ronghao Ni, Zinan Lin, Shuaiqi Wang et al.
MMD-based Variable Importance for Distributional Random Forest
Clément Bénard, Jeffrey Näf, Julie Josse
Model-Based Best Arm Identification for Decreasing Bandits
Sho Takemori, Yuhei Umeda, Aditya Gopalan
Model-based Policy Optimization under Approximate Bayesian Inference
Chaoqi Wang, Yuxin Chen, Kevin Murphy
Monitoring machine learning-based risk prediction algorithms in the presence of performativity
Jean Feng, Alexej Gossmann, Gene A Pennello et al.