Gustavo Lacerda: Difference between revisions
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See http://www.optimizelife.com | See http://www.optimizelife.com | ||
I'm a grad student at UBC, interested in machine learning and AI, and information theory. I like pretty math, '''especially''' when it helps us answer questions about the real world. I have a knack for spotting ambiguities and paradoxes, and sometimes need to resist the temptation of fixing them (a little handwaving | I'm a grad student at UBC, interested in machine learning and AI, and information theory. I like pretty math, '''especially''' when it helps us answer questions about the real world. I have a knack for spotting ambiguities and paradoxes, and sometimes need to resist the temptation of fixing them (a little handwaving is sometimes necessary for fast progress). My most developed nameable skill seems to be programming (this is distinct from "hacking", at which I'm merely ok). I can be a pedanticist about notation, and often wish that standard mathematical language were based on [http://gustavolacerda.livejournal.com/707194.html typed] [http://gustavolacerda.livejournal.com/766911.html lambda] [http://gustavolacerda.livejournal.com/712751.html calculus]. I'm a former semantic web dreamer, but remain fond of [http://homepages.inf.ed.ac.uk/irahwan/docs/AIJ2007.pdf argument diagramming]. | ||
My background is diverse. I have degrees in Mathematics (BS) and Logic (MSc). My most important publication so far was at UAI2008 (using [http://www.optimizelife.com/wiki/Projects#Discovering_causal_graphical_models_with_-:ICA_.28with_Peter_Spirtes.29 ICA to infer the structure of causal networks]). I'm a reviewer for CogSci, and I've recently had recommendations written by profs in Computer Science, Philosophy, Statistics, and Brain and Cognitive Sciences. | My background is diverse. I have degrees in Mathematics (BS) and Logic (MSc). My most important publication so far was at UAI2008 (using [http://www.optimizelife.com/wiki/Projects#Discovering_causal_graphical_models_with_-:ICA_.28with_Peter_Spirtes.29 ICA to infer the structure of causal networks]). I'm a reviewer for CogSci, and I've recently had recommendations written by profs in Computer Science, Philosophy, Statistics, and Brain and Cognitive Sciences. | ||
Revision as of 20:47, 29 April 2009
See http://www.optimizelife.com
I'm a grad student at UBC, interested in machine learning and AI, and information theory. I like pretty math, especially when it helps us answer questions about the real world. I have a knack for spotting ambiguities and paradoxes, and sometimes need to resist the temptation of fixing them (a little handwaving is sometimes necessary for fast progress). My most developed nameable skill seems to be programming (this is distinct from "hacking", at which I'm merely ok). I can be a pedanticist about notation, and often wish that standard mathematical language were based on typed lambda calculus. I'm a former semantic web dreamer, but remain fond of argument diagramming.
My background is diverse. I have degrees in Mathematics (BS) and Logic (MSc). My most important publication so far was at UAI2008 (using ICA to infer the structure of causal networks). I'm a reviewer for CogSci, and I've recently had recommendations written by profs in Computer Science, Philosophy, Statistics, and Brain and Cognitive Sciences.
Recently concluded projects include:
- search algorithms for Bayesian sparse linear regression
- stochastic gradient methods for training Restricted Boltzmann Machines
- time-series modeling of energy usage in office buildings
At SFI, I'm hoping to boost my research on complex networks.