Negar Hassanpour

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 10

Top Topics

Evaluation Methodology

Bayes Classifiers

Causal Inference

Top Venues

Canadian Conference on AI

Publications

Mohammad Salameh, Keith G. Mills, Negar Hassanpour, Fred X. Han, Shuting Zhang, Wei Lu, Shangling Jui, Chunhua Zhou, Fengyu Sun, Di Niu
AutoGO: Automated Computation Graph Optimization for Neural Network Evolution. NeurIPS (2023)
Cameron Haigh, Zichen Zhang, Negar Hassanpour, Khurram Javed, Yingying Fu, Shayan Shahramian, Shawn Zhang, Jun Luo
Drawing Inductor Layout with a Reinforcement Learning Agent: Method and Application for VCO Inductors. CoRR (2022)
Negar Hassanpour, Russell Greiner
Variational Auto-Encoder Architectures that Excel at Causal Inference. CoRR (2021)
Negar Hassanpour, Russell Greiner
Learning Disentangled Representations for CounterFactual Regression. ICLR (2020)
Negar Hassanpour, Russell Greiner
CounterFactual Regression with Importance Sampling Weights. IJCAI (2019)
Negar Hassanpour
Counterfactual Reasoning in Observational Studies. AAAI (2019)
Zichen Zhang, Qingfeng Lan, Lei Ding, Yue Wang, Negar Hassanpour, Russell Greiner
Reducing Selection Bias in Counterfactual Reasoning for Individual Treatment Effects Estimation. CoRR (2019)
Negar Hassanpour, Russell Greiner
A Novel Evaluation Methodology for Assessing Off-Policy Learning Methods in Contextual Bandits. Canadian Conference on AI (2018)
Liang Chen, Negar Hassanpour
Survey: How good are the current advances in image set based face identification? - Experiments on three popular benchmarks with a naïve approach. Comput. Vis. Image Underst. 160 (2017)
Negar Hassanpour, Liang Chen
A Quantum Probability Inspired Framework for Image-Set Based Face Identification. FG (2017)
Negar Hassanpour, Liang Chen
A hierarchical training and identification method using Gaussian process models for face recognition in videos. FG (2015)