Papers
Improving Policy Optimization with Generalist-Specialist Learning
Zhiwei Jia, Xuanlin Li, Zhan Ling et al.
Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification
Leo Schwinn, Leon Bungert, An Nguyen et al.
Improving Screening Processes via Calibrated Subset Selection
Lequn Wang, Thorsten Joachims, Manuel Gomez Rodriguez
Improving Task-free Continual Learning by Distributionally Robust Memory Evolution
Zhenyi Wang, Li Shen, Le Fang et al.
Improving Transformers with Probabilistic Attention Keys
Tam Minh Nguyen, Tan Minh Nguyen, Dung D. D. Le et al.
In defense of dual-encoders for neural ranking
Aditya Menon, Sadeep Jayasumana, Ankit Singh Rawat et al.
Independent Policy Gradient for Large-Scale Markov Potential Games: Sharper Rates, Function Approximation, and Game-Agnostic Convergence
Dongsheng Ding, Chen-Yu Wei, Kaiqing Zhang et al.
Individual Preference Stability for Clustering
Saba Ahmadi, Pranjal Awasthi, Samir Khuller et al.
Individual Reward Assisted Multi-Agent Reinforcement Learning
Li Wang, Yupeng Zhang, Yujing Hu et al.
Inducing Causal Structure for Interpretable Neural Networks
Atticus Geiger, Zhengxuan Wu, Hanson Lu et al.
Inductive Biases and Variable Creation in Self-Attention Mechanisms
Benjamin L Edelman, Surbhi Goel, Sham Kakade et al.
Inductive Matrix Completion: No Bad Local Minima and a Fast Algorithm
Pini Zilber, Boaz Nadler
Inferring Cause and Effect in the Presence of Heteroscedastic Noise
Sascha Xu, Osman A Mian, Alexander Marx et al.
Influence-Augmented Local Simulators: a Scalable Solution for Fast Deep RL in Large Networked Systems
Miguel Suau, Jinke He, Matthijs T. J. Spaan et al.
Information Discrepancy in Strategic Learning
Yahav Bechavod, Chara Podimata, Steven Wu et al.
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