Calendar

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AMS Seminar: Mei Cheng Wang (JHU- Biostat) @ Whitehead 304 1:30 pm
AMS Seminar: Mei Cheng Wang (JHU- Biostat) @ Whitehead 304
Feb 7 @ 1:30 pm – 2:30 pm
Title: Complexity in Simple Cross-Sectional Data with Binary Disease Outcome Abstract:  Cross-sectionally sampled data with binary disease outcome are commonly collected and analyzed in observational studies for understanding how  covariates correlate with disease occurrence. At Hopkins SPH[...]
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Mathematics Seminar- Jalaj Upadhyay (Computer Science): Optimization and Discrete @ Whitehead 304 10:00 am
Mathematics Seminar- Jalaj Upadhyay (Computer Science): Optimization and Discrete @ Whitehead 304
Feb 11 @ 10:00 am – 11:00 am
Title: Towards Robust and Scalable Private Data Analysis Abstract: In the current age of big data, we are constantly creating new data which is analyzed by various platforms to improve service and user’s experience.  Given[...]
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AMS Seminar: Bala Krishnamorthy (Washington State University) @ Whitehead 304 1:30 pm
AMS Seminar: Bala Krishnamorthy (Washington State University) @ Whitehead 304
Feb 14 @ 1:30 pm – 2:30 pm
Title: Optimization and Topology: Two Stories Abstract: Algebraic topology and optimization are typically not considered as closely related fields of mathematics. We will present two stories of fruitful interaction between these two fields, with the implications[...]
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AMS Seminar: Vadim Elenev (JHU-Business) @ Whitehead 304 1:30 pm
AMS Seminar: Vadim Elenev (JHU-Business) @ Whitehead 304
Feb 21 @ 1:30 pm – 2:30 pm
Title: Mortgage Credit, Aggregate Demand, and Unconventional Monetary Policy Abstract: I develop a quantitative model of the mortgage market operating in an economy with financial frictions and nominal rigidities. I use this model to study the[...]
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AMS Seminar: Madeline Udell (Cornell University) @ Whitehead 304 1:30 pm
AMS Seminar: Madeline Udell (Cornell University) @ Whitehead 304
Feb 28 @ 1:30 pm – 2:30 pm
Title: Big Data is Low Rank Abstract:   Matrices of low rank are pervasive in big data, appearing in recommender systems, movie preferences, topic models, medical records, and genomics. While there is a vast literature on[...]
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