Papers
Error-Correcting Output Codes with Ensemble Diversity for Robust Learning in Neural Networks
Yang Song, Qiyu Kang, Wee Peng Tay
ESCAPED: Efficient Secure and Private Dot Product Framework for Kernel-based Machine Learning Algorithms with Applications in Healthcare
Ali Burak Ünal, Mete Akgün, Nico Pfeifer
Escaping Local Optima with Non-Elitist Evolutionary Algorithms
Duc-Cuong Dang, Anton Eremeev, Per Kristian Lehre
ESO-MAPF: Bridging Discrete Planning and Continuous Execution in Multi-Agent Pathfinding
Ján Chudý, Pavel Surynek
Estimating Calibrated Individualized Survival Curves with Deep Learning
Fahad Kamran, Jenna Wiens
Estimating Card Fitness for Discard in Gin Rummy
Jacob Gallucci, Richard Bowser, Sarah Kettell et al.
Estimating Identifiable Causal Effects through Double Machine Learning
Yonghan Jung, Jin Tian, Elias Bareinboim
Estimating the Number of Induced Subgraphs from Incomplete Data and Neighborhood Queries
Dimitris Fotakis, Thanasis Pittas, Stratis Skoulakis
Estimating α-Rank by Maximizing Information Gain
Tabish Rashid, Cheng Zhang, Kamil Ciosek
Estimation of Spectral Risk Measures
Ajay Kumar Pandey, Prashanth L.A., Sanjay P. Bhat
Ethical Dilemmas in Strategic Games
Pavel Naumov, Rui-Jie Yew
Ethically Compliant Sequential Decision Making
Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein
eTREE: Learning Tree-structured Embeddings
Faisal M. Almutairi, Yunlong Wang, Dong Wang et al.
EvaLDA: Efficient Evasion Attacks Towards Latent Dirichlet Allocation
Qi Zhou, Haipeng Chen, Yitao Zheng et al.
Evaluating Gin Rummy Hands Using Opponent Modeling and Myopic Meld Distance
Phoebe Goldman, Corey R. Knutson, Ryan Mahtab et al.
Evaluating Meta-Reinforcement Learning through a HVAC Control Benchmark (Student Abstract)
Yashvir S. Grewal, Frits de Nijs, Sarah Goodwin
Evidence Aware Neural Pornographic Text Identification for Child Protection
Kaisong Song, Yangyang Kang, Wei Gao et al.
Evidence Inference Networks for Interpretable Claim Verification
Lianwei Wu, Yuan Rao, Ling Sun et al.
Evolutionary Approach for AutoAugment Using the Thermodynamical Genetic Algorithm
Akira Terauchi, Naoki Mori
Evolutionary Game Theory Squared: Evolving Agents in Endogenously Evolving Zero-Sum Games
Stratis Skoulakis, Tanner Fiez, Ryann Sim et al.
Evolution Strategies for Approximate Solution of Bayesian Games
Zun Li, Michael P. Wellman
Exacerbating Algorithmic Bias through Fairness Attacks
Ninareh Mehrabi, Muhammad Naveed, Fred Morstatter et al.
Exact Reduction of Huge Action Spaces in General Reinforcement Learning
Sultan J. Majeed, Marcus Hutter
ExGAN: Adversarial Generation of Extreme Samples
Siddharth Bhatia, Arjit Jain, Bryan Hooi