Papers
Informed Learning by Wide Neural Networks: Convergence, Generalization and Sampling Complexity
Jianyi Yang, Shaolei Ren
Injecting Logical Constraints into Neural Networks via Straight-Through Estimators
Zhun Yang, Joohyung Lee, Chiyoun Park
Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing
Jiayin Jin, Zeru Zhang, Yang Zhou et al.
Input Dependent Sparse Gaussian Processes
Bahram Jafrasteh, Carlos Villacampa-Calvo, Daniel Hernandez-Lobato
Instance Dependent Regret Analysis of Kernelized Bandits
Shubhanshu Shekhar, Tara Javidi
Instrumental Variable Regression with Confounder Balancing
Anpeng Wu, Kun Kuang, Bo Li et al.
Interactive Correlation Clustering with Existential Cluster Constraints
Rico Angell, Nicholas Monath, Nishant Yadav et al.
Interactive Inverse Reinforcement Learning for Cooperative Games
Thomas Kleine Büning, Anne-Marie George, Christos Dimitrakakis
Interactively Learning Preference Constraints in Linear Bandits
David Lindner, Sebastian Tschiatschek, Katja Hofmann et al.
Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism
Siqi Miao, Mia Liu, Pan Li
Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings
Jan Macdonald, Mathieu E. Besançon, Sebastian Pokutta
Interpretable Off-Policy Learning via Hyperbox Search
Daniel Tschernutter, Tobias Hatt, Stefan Feuerriegel
Interventional Contrastive Learning with Meta Semantic Regularizer
Wenwen Qiang, Jiangmeng Li, Changwen Zheng et al.
Intriguing Properties of Input-Dependent Randomized Smoothing
Peter Súkenı́k, Aleksei Kuvshinov, Stephan Günnemann
Invariant Ancestry Search
Phillip B Mogensen, Nikolaj Thams, Jonas Peters
Inverse Contextual Bandits: Learning How Behavior Evolves over Time
Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar
Investigating Generalization by Controlling Normalized Margin
Alexander R Farhang, Jeremy D Bernstein, Kushal Tirumala et al.
Investigating Why Contrastive Learning Benefits Robustness against Label Noise
Yihao Xue, Kyle Whitecross, Baharan Mirzasoleiman
Iterative Double Sketching for Faster Least-Squares Optimization
Rui Wang, Yanyan Ouyang, Wangli Xu
Iterative Hard Thresholding with Adaptive Regularization: Sparser Solutions Without Sacrificing Runtime
Kyriakos Axiotis, Maxim Sviridenko
It’s Raw! Audio Generation with State-Space Models
Karan Goel, Albert Gu, Chris Donahue et al.
Kernelized Multiplicative Weights for 0/1-Polyhedral Games: Bridging the Gap Between Learning in Extensive-Form and Normal-Form Games
Gabriele Farina, Chung-Wei Lee, Haipeng Luo et al.
Kernel Methods for Radial Transformed Compositional Data with Many Zeros
Junyoung Park, Changwon Yoon, Cheolwoo Park et al.
Kill a Bird with Two Stones: Closing the Convergence Gaps in Non-Strongly Convex Optimization by Directly Accelerated SVRG with Double Compensation and Snapshots
Yuanyuan Liu, Fanhua Shang, Weixin An et al.
Knowledge Base Question Answering by Case-based Reasoning over Subgraphs
Rajarshi Das, Ameya Godbole, Ankita Naik et al.