Papers
Efficient semidefinite-programming-based inference for binary and multi-class MRFs
Chirag Pabbaraju, Po-Wei Wang, J. Zico Kolter
Object Goal Navigation using Goal-Oriented Semantic Exploration
Devendra Singh Chaplot, Dhiraj Prakashchand Gandhi, Abhinav Gupta et al.
Munchausen Reinforcement Learning
Nino Vieillard, Olivier Pietquin, Matthieu Geist
On the Error Resistance of Hinge-Loss Minimization
Kunal Talwar
How Can I Explain This to You? An Empirical Study of Deep Neural Network Explanation Methods
Jeya Vikranth Jeyakumar, Joseph Noor, Yu-Hsi Cheng et al.
MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning
Elise van der Pol, Daniel Worrall, Herke van Hoof et al.
Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization
Sreejith Balakrishnan, Quoc Phong Nguyen, Bryan Kian Hsiang Low et al.
Balanced Meta-Softmax for Long-Tailed Visual Recognition
Jiawei Ren, Cunjun Yu, shunan sheng et al.
Learning Loss for Test-Time Augmentation
Ildoo Kim, Younghoon Kim, Sungwoong Kim
Counterfactual Predictions under Runtime Confounding
Amanda Coston, Edward Kennedy, Alexandra Chouldechova
Predictive inference is free with the jackknife+-after-bootstrap
Byol Kim, Chen Xu, Rina Barber
Sequential Bayesian Experimental Design with Variable Cost Structure
Sue Zheng, David Hayden, Jason Pacheco et al.
From Predictions to Decisions: Using Lookahead Regularization
Nir Rosenfeld, Anna Hilgard, Sai Srivatsa Ravindranath et al.
Adaptive Reduced Rank Regression
Qiong Wu, Felix MF Wong, Yanhua Li et al.
Searching for Low-Bit Weights in Quantized Neural Networks
Zhaohui Yang, Yunhe Wang, Kai Han et al.
AttendLight: Universal Attention-Based Reinforcement Learning Model for Traffic Signal Control
Afshin Oroojlooy, Mohammadreza Nazari, Davood Hajinezhad et al.
Fairness with Overlapping Groups; a Probabilistic Perspective
Forest Yang, Mouhamadou Cisse, Sanmi Koyejo
On the Power of Louvain in the Stochastic Block Model
Vincent Cohen-Addad, Adrian Kosowski, Frederik Mallmann-Trenn et al.
Differentially Private Clustering: Tight Approximation Ratios
Badih Ghazi, Ravi Kumar, Pasin Manurangsi
Fast Epigraphical Projection-based Incremental Algorithms for Wasserstein Distributionally Robust Support Vector Machine
Jiajin Li, Caihua Chen, Anthony Man-Cho So
Sufficient dimension reduction for classification using principal optimal transport direction
Cheng Meng, Jun Yu, Jingyi Zhang et al.
Self-Supervised Relational Reasoning for Representation Learning
Massimiliano Patacchiola, Amos J. Storkey
Rethinking Learnable Tree Filter for Generic Feature Transform
Lin Song, Yanwei Li, Zhengkai Jiang et al.
Counterfactual Data Augmentation using Locally Factored Dynamics
Silviu Pitis, Elliot Creager, Animesh Garg
Teaching a GAN What Not to Learn
Siddarth Asokan, Chandra Seelamantula