Papers
Improved Corruption Robust Algorithms for Episodic Reinforcement Learning
Yifang Chen, Simon Du, Kevin Jamieson
Improved Denoising Diffusion Probabilistic Models
Alexander Quinn Nichol, Prafulla Dhariwal
Improved, Deterministic Smoothing for L_1 Certified Robustness
Alexander J Levine, Soheil Feizi
Improved OOD Generalization via Adversarial Training and Pretraing
Mingyang Yi, Lu Hou, Jiacheng Sun et al.
Improved Regret Bound and Experience Replay in Regularized Policy Iteration
Nevena Lazic, Dong Yin, Yasin Abbasi-Yadkori et al.
Improved Regret Bounds of Bilinear Bandits using Action Space Analysis
Kyoungseok Jang, Kwang-Sung Jun, Se-Young Yun et al.
Improving Breadth-Wise Backpropagation in Graph Neural Networks Helps Learning Long-Range Dependencies.
Denis Lukovnikov, Asja Fischer
Improving Generalization in Meta-learning via Task Augmentation
Huaxiu Yao, Long-Kai Huang, Linjun Zhang et al.
Improving Gradient Regularization using Complex-Valued Neural Networks
Eric C Yeats, Yiran Chen, Hai Li
Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding
Yangjun Ruan, Karen Ullrich, Daniel S Severo et al.
Improving Molecular Graph Neural Network Explainability with Orthonormalization and Induced Sparsity
Ryan Henderson, Djork-Arné Clevert, Floriane Montanari
Improving Ultrametrics Embeddings Through Coresets
Vincent Cohen-Addad, Rémi De Joannis De Verclos, Guillaume Lagarde
Incentivized Bandit Learning with Self-Reinforcing User Preferences
Tianchen Zhou, Jia Liu, Chaosheng Dong et al.
Incentivizing Compliance with Algorithmic Instruments
Dung Daniel T Ngo, Logan Stapleton, Vasilis Syrgkanis et al.
In-Database Regression in Input Sparsity Time
Rajesh Jayaram, Alireza Samadian, David Woodruff et al.
Inference for Network Regression Models with Community Structure
Mengjie Pan, Tyler Mccormick, Bailey Fosdick
Inferring Latent Dynamics Underlying Neural Population Activity via Neural Differential Equations
Timothy D. Kim, Thomas Z. Luo, Jonathan W. Pillow et al.
Inferring serial correlation with dynamic backgrounds
Song Wei, Yao Xie, Dobromir Rahnev
Infinite-Dimensional Optimization for Zero-Sum Games via Variational Transport
Lewis Liu, Yufeng Zhang, Zhuoran Yang et al.
Information Obfuscation of Graph Neural Networks
Peiyuan Liao, Han Zhao, Keyulu Xu et al.
Instabilities of Offline RL with Pre-Trained Neural Representation
Ruosong Wang, Yifan Wu, Ruslan Salakhutdinov et al.
Instance-Optimal Compressed Sensing via Posterior Sampling
Ajil Jalal, Sushrut Karmalkar, Alex Dimakis et al.
Instance Specific Approximations for Submodular Maximization
Eric Balkanski, Sharon Qian, Yaron Singer
Integer Programming for Causal Structure Learning in the Presence of Latent Variables
Rui Chen, Sanjeeb Dash, Tian Gao