Papers
4,025 papers found
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.
Monotone Operator Theory-Inspired Message Passing for Learning Long-Range Interaction on Graphs
Justin M. Baker, Qingsong Wang, Martin Berzins et al.
Multi-Agent Bandit Learning through Heterogeneous Action Erasure Channels
Osama A Hanna, Merve Karakas, Lin Yang et al.
Multi-Agent Learning in Contextual Games under Unknown Constraints
Anna M. Maddux, Maryam Kamgarpour
Multi-armed bandits with guaranteed revenue per arm
Dorian Baudry, Nadav Merlis, Mathieu Benjamin Molina et al.
Multiclass Learning from Noisy Labels for Non-decomposable Performance Measures
Mingyuan Zhang, Shivani Agarwal
Multi-Dimensional Hyena for Spatial Inductive Bias
Itamar Zimerman, Lior Wolf
Multi-Domain Causal Representation Learning via Weak Distributional Invariances
Kartik Ahuja, Amin Mansouri, Yixin Wang
Multi-Level Symbolic Regression: Function Structure Learning for Multi-Level Data
Kei Sen Fong, Mehul Motani