Papers
4,025 papers found
Graph Machine Learning through the Lens of Bilevel Optimization
Amber Yijia Zheng, Tong He, Yixuan Qiu et al.
Graph Partitioning with a Move Budget
Mina Dalirrooyfard, Elaheh Fata, Majid Behbahani et al.
Graph Pruning for Enumeration of Minimal Unsatisfiable Subsets
Panagiotis Lymperopoulos, Liping Liu
GRAWA: Gradient-based Weighted Averaging for Distributed Training of Deep Learning Models
Tolga Dimlioglu, Anna Choromanska
Hidden yet quantifiable: A lower bound for confounding strength using randomized trials
Piersilvio De Bartolomeis, Javier Abad Martinez, Konstantin Donhauser et al.
Hodge-Compositional Edge Gaussian Processes
Maosheng Yang, Viacheslav Borovitskiy, Elvin Isufi
Holographic Global Convolutional Networks for Long-Range Prediction Tasks in Malware Detection
Mohammad Mahmudul Alam, Edward Raff, Stella R Biderman et al.
Horizon-Free and Instance-Dependent Regret Bounds for Reinforcement Learning with General Function Approximation
Jiayi Huang, Han Zhong, Liwei Wang et al.
How does GPT-2 Predict Acronyms? Extracting and Understanding a Circuit via Mechanistic Interpretability
Jorge García-Carrasco, Alejandro Maté, Juan Carlos Trujillo
How Good is a Single Basin?
Kai Lion, Lorenzo Noci, Thomas Hofmann et al.
Identifiability of Product of Experts Models
Manav Kant, Eric Y Ma, Andrei Staicu et al.
Identifiable Feature Learning for Spatial Data with Nonlinear ICA
Hermanni Hälvä, Jonathan So, Richard E. Turner et al.
Identification and Estimation of “Causes of Effects” using Covariate-Mediator Information
Ryusei Shingaki, Manabu Kuroki
Identifying Confounding from Causal Mechanism Shifts
Sarah Mameche, Jilles Vreeken, David Kaltenpoth
Identifying Copeland Winners in Dueling Bandits with Indifferences
Viktor Bengs, Björn Haddenhorst, Eyke Hüllermeier
Identifying Spurious Biases Early in Training through the Lens of Simplicity Bias
Yu Yang, Eric Gan, Gintare Karolina Dziugaite et al.
Implicit Bias in Noisy-SGD: With Applications to Differentially Private Training
Tom Sander, Maxime Sylvestre, Alain Durmus
Implicit Regularization in Deep Tucker Factorization: Low-Rankness via Structured Sparsity
Kais Hariz, Hachem Kadri, Stéphane Ayache et al.
Importance Matching Lemma for Lossy Compression with Side Information
Buu Phan, Ashish Khisti, Christos Louizos
Imposing Fairness Constraints in Synthetic Data Generation
Mahed Abroshan, Andrew Elliott, Mohammad Mahdi Khalili
Improved Algorithm for Adversarial Linear Mixture MDPs with Bandit Feedback and Unknown Transition
Long-Fei Li, Peng Zhao, Zhi-Hua Zhou
Improved Regret Bounds of (Multinomial) Logistic Bandits via Regret-to-Confidence-Set Conversion
Junghyun Lee, Se-Young Yun, Kwang-Sung Jun
Improving Robustness via Tilted Exponential Layer: A Communication-Theoretic Perspective
Bhagyashree Puranik, Ahmad Beirami, Yao Qin et al.