Applied Mathematics and Machine Learning
Department of Mathematics and Statistics
Texas Tech University
The Applied Math seminar group recommends people attend the Colloquium given on the 10th in Experimental Sciences Building 1, room 120.
Abstract: Rooted in Approximation Theory, Optimal Recovery can be viewed as a trustworthy learning theory focusing on the worst case. Regrettably, compared to more popular Machine Learning alternatives, the classical theory of Optimal Recovery overlooked the computational aspect, with a few exceptions, e.g., the development of spline functions. Nowadays, modern optimization techniques facilitate advances — even theoretical ones — on the minimax problems that abound in the field. I will illustrate this point by selecting a few snippets from my recent work.
KEY WORDS/RELATED TOPICS: Prediction of (multivalued) functions based on merely convex models; Estimation of linear functionals in the space of continuous functions; Full Recovery from deterministically inaccurate data in Hilbert spaces; Estimation of linear functionals from stochastically inaccurate data; Prediction of the maxima of Lipschitz functions from inaccurate point values
When: 3:00 pm (Lubbock's local time is GMT -5)
Where: room Math 011 (Math Basement)
ZOOM details:
- Choice #1: use this
Direct Link that embeds meeting ID and passcode
or
- Choice #2: Log into zoom, then join by manually inputting the meeting ID and passcode ...
* Meeting ID: 915 2866 2672
* Passcode: applied
 | Wednesday
Sep. 24
4 PM
Math 011
|
| TBA
Francizca Weber
Department of Mathematics, University of California Berkeley
|
Abstract. TBA.
When: 4:00 pm (Lubbock's local time is GMT -5)
Where: room Math 011 (Math Basement)
ZOOM details:
- Choice #1: use this link
Direct Link that embeds meeting and ID and passcode.
- Choice #2: join meeting using this link
Join Meeting, then you will have to input the ID and Passcode by hand:
* Meeting ID: 915 2866 2672
* Passcode: applied
 | Wednesday
Oct. 1
4 PM
Math 011
|
| TBA
Peter Jantsch
Department of Mathematics, Wheaton College
|
Abstract. TBA.
When: 4:00 pm (Lubbock's local time is GMT -5)
Where: room Math 011 (Math Basement)
ZOOM details:
- Choice #1: use this link
Direct Link that embeds meeting and ID and passcode.
- Choice #2: join meeting using this link
Join Meeting, then you will have to input the ID and Passcode by hand:
* Meeting ID: 915 2866 2672
* Passcode: applied
 | Wednesday
Oct. 8
4 PM
Math 011
|
| TBA
Thomas Hagstrom
Department of Mathematics, Southern Methodist University
|
Abstract. TBA.
When: 4:00 pm (Lubbock's local time is GMT -5)
Where: room Math 011 (Math Basement)
ZOOM details:
- Choice #1: use this link
Direct Link that embeds meeting and ID and passcode.
- Choice #2: join meeting using this link
Join Meeting, then you will have to input the ID and Passcode by hand:
* Meeting ID: 915 2866 2672
* Passcode: applied
 | Wednesday
Oct. 15
4 PM
Math 011
|
| TBA
Adelia Aquino
Department of Chemistry, Texas Tech University
|
Abstract. TBA.
When: 4:00 pm (Lubbock's local time is GMT -5)
Where: room Math 011 (Math Basement)
ZOOM details:
- Choice #1: use this link
Direct Link that embeds meeting and ID and passcode.
- Choice #2: join meeting using this link
Join Meeting, then you will have to input the ID and Passcode by hand:
* Meeting ID: 915 2866 2672
* Passcode: applied
 | Wednesday
Oct. 22
4 PM
Math 011
|
| TBA
Andreas Mang
Department of Mathematics, University of Houston
|
Abstract. TBA.
When: 4:00 pm (Lubbock's local time is GMT -5)
Where: room Math 011 (Math Basement)
ZOOM details:
- Choice #1: use this link
Direct Link that embeds meeting and ID and passcode.
- Choice #2: join meeting using this link
Join Meeting, then you will have to input the ID and Passcode by hand:
* Meeting ID: 915 2866 2672
* Passcode: applied
 | Wednesday
Oct. 29
4 PM
Math 011
|
| TBA
Christopher Rycroft
Department of Mathematics, University of Wisconsin–Madison
|
Abstract. TBA.
When: 4:00 pm (Lubbock's local time is GMT -5)
Where: room Math 011 (Math Basement)
ZOOM details:
- Choice #1: use this link
Direct Link that embeds meeting and ID and passcode.
- Choice #2: join meeting using this link
Join Meeting, then you will have to input the ID and Passcode by hand:
* Meeting ID: 915 2866 2672
* Passcode: applied
Abstract. TBA.
When: 4:00 pm (Lubbock's local time is GMT -5)
Where: room Math 011 (Math Basement)
ZOOM details:
- Choice #1: use this link
Direct Link that embeds meeting and ID and passcode.
- Choice #2: join meeting using this link
Join Meeting, then you will have to input the ID and Passcode by hand:
* Meeting ID: 915 2866 2672
* Passcode: applied
 | Wednesday
Nov. 12
4 PM
Math 011
|
| TBA
Laurent Jay
Department of Mathematics, The University of Iowa
|
Abstract. TBA.
When: 4:00 pm (Lubbock's local time is GMT -5)
Where: room Math 011 (Math Basement)
ZOOM details:
- Choice #1: use this link
Direct Link that embeds meeting and ID and passcode.
- Choice #2: join meeting using this link
Join Meeting, then you will have to input the ID and Passcode by hand:
* Meeting ID: 915 2866 2672
* Passcode: applied
 | Wednesday
Nov. 19
4 PM
Math 011
|
| TBA
Anh-Khoi Vo
Department of Mathematics, University of Houston
|
Abstract. TBA.
When: 4:00 pm (Lubbock's local time is GMT -5)
Where: room Math 011 (Math Basement)
ZOOM details:
- Choice #1: use this link
Direct Link that embeds meeting and ID and passcode.
- Choice #2: join meeting using this link
Join Meeting, then you will have to input the ID and Passcode by hand:
* Meeting ID: 915 2866 2672
* Passcode: applied