I am a fifth year PhD student at the Language Technologies Institute, advised by Prof Yiming Yang. Currently I am working on joint probabilistic modeling of regression, classification, and retrieval tasks using graphical models, and optimal ordering of a sequence of such interrelated tasks to maximize overall utility. I did my summer internship at Yahoo! Santa Clara, under Jan Pedersen, on machine learning approaches to ranking, aka learning to rank for IR. Thanks to Yahoo! for supporting my research through the Yahoo! PhD Fellowship for 2007-09. See my curriculum vitae, or short resume. I received my B.Tech. in Information Technology from IIIT Allahabad, India in 2005. Research InterestsStatistical machine learning, algorithms for text retrieval and web data processing.PublicationsY. Yang, A. Lad. Modeling Expected Utility of Multi-session Information Distillation ICTIR 2009.A. Lad, Y. Yang, R. Ghani, B. Kisiel. Toward Optimal Ordering of Prediction Tasks. SDM 2009. K. Salomatin, Y. Yang, A. Lad. Multi-field Correlated Topic Modeling. SDM 2009. Y. Yang, A. Lad, H. Shu, B. Kisiel, C. Cumby, R. Ghani, K. Probst. Graph Structure Learning for Task Ordering. ICEIS 2009 A. Lad, Y. Yang. Generalizing from Relevance Feedback using Named Entity Wildcards. CIKM 2007. Y. Yang, A. Lad, ... Utility-based Information Distillation over Temporally Sequenced Documents. SIGIR 2007. A. Lad, M. Saggar. Carnivore - A Web Clustering Program. IEEE IRI-2004. A. Lad. SpamNet - Spam Detection using PCA and Neural Networks. Lecture Notes in Computer Science 2004, pp. 205-213. LinksAn applet showing decision surfaces created by kNN.An applet showing EM for estimating Gaussian mixtures. A tag cloud of most common words in the book "Information Retrieval" (Rijsbergen).
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