Papers
Improved No-Regret Algorithms for Stochastic Shortest Path with Linear MDP
Liyu Chen, Rahul Jain, Haipeng Luo
Improved Rates for Differentially Private Stochastic Convex Optimization with Heavy-Tailed Data
Gautam Kamath, Xingtu Liu, Huanyu Zhang
Improved Regret for Differentially Private Exploration in Linear MDP
Dung Daniel T Ngo, Giuseppe Vietri, Steven Wu
Improved StyleGAN-v2 based Inversion for Out-of-Distribution Images
Rakshith Subramanyam, Vivek Narayanaswamy, Mark Naufel et al.
Improve Single-Point Zeroth-Order Optimization Using High-Pass and Low-Pass Filters
Xin Chen, Yujie Tang, Na Li
Improving Adversarial Robustness via Mutual Information Estimation
Dawei Zhou, Nannan Wang, Xinbo Gao et al.
Improving Ensemble Distillation With Weight Averaging and Diversifying Perturbation
Giung Nam, Hyungi Lee, Byeongho Heo et al.
Improving Language Models by Retrieving from Trillions of Tokens
Sebastian Borgeaud, Arthur Mensch, Jordan Hoffmann et al.
Improving Mini-batch Optimal Transport via Partial Transportation
Khai Nguyen, Dang Nguyen, The-Anh Vu-Le et al.
Improving Out-of-Distribution Robustness via Selective Augmentation
Huaxiu Yao, Yu Wang, Sai Li et al.
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.