Papers
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
Integrated Defense for Resilient Graph Matching
Jiaxiang Ren, Zijie Zhang, Jiayin Jin et al.
Interaction-Grounded Learning
Tengyang Xie, John Langford, Paul Mineiro et al.
Interactive Learning from Activity Description
Khanh X Nguyen, Dipendra Misra, Robert Schapire et al.
Intermediate Layer Optimization for Inverse Problems using Deep Generative Models
Giannis Daras, Joseph Dean, Ajil Jalal et al.
Interpretable Stability Bounds for Spectral Graph Filters
Henry Kenlay, Dorina Thanou, Xiaowen Dong
Interpretable Stein Goodness-of-fit Tests on Riemannian Manifold
Wenkai Xu, Takeru Matsuda
Interpreting and Disentangling Feature Components of Various Complexity from DNNs
Jie Ren, Mingjie Li, Zexu Liu et al.
Inverse Constrained Reinforcement Learning
Shehryar Malik, Usman Anwar, Alireza Aghasi et al.
Inverse Decision Modeling: Learning Interpretable Representations of Behavior
Daniel Jarrett, Alihan Hüyük, Mihaela Van Der Schaar
Isometric Gaussian Process Latent Variable Model for Dissimilarity Data
Martin Jørgensen, Soren Hauberg
Is Pessimism Provably Efficient for Offline RL?
Ying Jin, Zhuoran Yang, Zhaoran Wang
Is Space-Time Attention All You Need for Video Understanding?
Gedas Bertasius, Heng Wang, Lorenzo Torresani
Joining datasets via data augmentation in the label space for neural networks
Junbo Zhao, Mingfeng Ou, Linji Xue et al.
Joint Online Learning and Decision-making via Dual Mirror Descent
Alfonso Lobos, Paul Grigas, Zheng Wen
Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks
Avi Schwarzschild, Micah Goldblum, Arjun Gupta et al.