Description: Home page of Arman Zharmagambetov
I am a postdoctoral researcher at Meta AI ( FAIR ), working with Yuandong Tian in the intersection of machine learning and optimization , recently involving AI-guided optimization, reinforcement learning and combinatorial optimization. Prior to that, I earned my Ph.D. degree at University of California, Merced ( UCM ) advised by Miguel Á. Carreira-Perpiñán , where I primarily studied learning algorithms for decision trees and tree-based models (see TAO ). Google Scholar and CV Publications Selected papers [
[ NeurIPS ] A. Zharmagambetov and M. Á. Carreira-Perpiñán (2022): "Semi-Supervised Learning with Decision Trees: Graph Laplacian Tree Alternating Optimization". Advances in Neural Information Processing Systems (NeurIPS 2022). [ external link ] [ paper preprint ] [ short video ] [ poster ]
[ EMNLP ] A. Zharmagambetov and M. Gabidolla and M. Á. Carreira-Perpiñán (2021): "Softmax Tree: An Accurate, Fast Classifier When the Number of Classes Is Large". Conference on Empirical Methods in Natural Language Processing (EMNLP 2021, long paper track). [ external link ] [ paper preprint ] [ slides ] [ poster ] [ video ]