rs - PowerPoint PPT Presentation

❙♠❛❧❧ ❞♦✉❜❧✐♥❣ ✐♥ ♥ ✲❊♥❣❡❧ ❣r♦✉♣s P❛tr✐③✐❛ ▲❖◆●❖❇❆❘❉■ ❯◆■❱❊❘❙■❚➚ ❉❊●▲■ ❙❚❯❉■ ❉■ ❙❆▲❊❘◆❖ ❆❞❞✐t✐✈❡ ❈♦♠❜✐♥❛t♦r✐❝s ✴ ❈♦♠❜✐♥❛t♦✐r❡ ❛❞❞✐t✐✈❡ ❈■❘▼ ❈♦♥❢❡r❡♥❝❡ ✲ ▼❛rs❡✐❧❧❡ ❍❨❇❘■❉ ❈❖◆❋❊❘❊◆❈❊ ✵✼ ✲ ✶✶ ❙❡♣t❡♠❜❡r ✷✵✷✵ P❛tr✐③✐❛ ▲♦♥❣♦❜❛r❞✐ ✲ ❯♥✐✈❡rs✐t② ♦❢ ❙❛❧❡r♥♦ ❙▼❆▲▲ ❉❖❯❇▲■◆● ■◆ ♥✲❊◆●❊▲ ●❘❖❯P❙

❆ ♥❡✇ ♣❛♣❡r ▼❡r❝❡❞❡ ▼❛❥ ✭❙❛❧❡r♥♦✮ P✳ ▲✳✱ ▼✳ ▼❛❥ ✱ ❙♠❛❧❧ ❞♦✉❜❧✐♥❣ ✐♥ ♠ ✲❊♥❣❡❧ ❣r♦✉♣s✱ ■♥t✳ ❏✳ ●r♦✉♣ ❚❤❡♦r② ✱ ✾ ✭✷✵✷✵✮✱ ♥♦✳ ✹✱ ✷✼✼✲✷✾✶✳ P❛tr✐③✐❛ ▲♦♥❣♦❜❛r❞✐ ✲ ❯♥✐✈❡rs✐t② ♦❢ ❙❛❧❡r♥♦ ❙▼❆▲▲ ❉❖❯❇▲■◆● ■◆ ♥✲❊◆●❊▲ ●❘❖❯P❙

❇❛s✐❝ ❞❡✜♥✐t✐♦♥s ❉❡✜♥✐t✐♦♥s ■❢ ❙ , ❚ ❛r❡ s✉❜s❡ts ♦❢ ❛ ❣r♦✉♣ ● ✱ t❤❡♥ ✇❡ ✇r✐t❡ ❙ ✷ = { ❛❜ | ❛ , ❜ ∈ ❙ } . ❙❚ = { ❛❜ | ❛ ∈ ❙ , ❜ ∈ ❚ } ❛♥❞ ❙ ✷ ✐s ❛❧s♦ ❝❛❧❧❡❞ t❤❡ sq✉❛r❡ ♦❢ ❙ ✳ ■❢ ● ✐s ❛♥ ❛❞❞✐t✐✈❡ ❣r♦✉♣✱ t❤❡♥ ✇❡ ❞❡♥♦t❡ ❙ + ❚ = { ❛ + ❜ | ❛ ∈ ❙ , ❜ ∈ ❚ } ❛♥❞ ✷ ❙ = { ❛ + ❜ | ❛ , ❜ ∈ ❙ } . ❙ + ❚ ✐s ❛❧s♦ ❝❛❧❧❡❞ t❤❡ ✭▼✐♥❦♦✇s❦✐✮ s✉♠s❡t ♦❢ ❙ ❛♥❞ ❚ ✱ ✷ ❙ ✐s ❛❧s♦ ❝❛❧❧❡❞ t❤❡ ❞♦✉❜❧❡ ♦❢ ❙ ✳ ■❢ ❙ ✐s ❛ ✜♥✐t❡ s✉❜s❡t ♦❢ ● ✇❡ ❞❡♥♦t❡ ❜② | ❙ | t❤❡ ❝❛r❞✐♥❛❧✐t② ♦❢ ❙ ✳ P❛tr✐③✐❛ ▲♦♥❣♦❜❛r❞✐ ✲ ❯♥✐✈❡rs✐t② ♦❢ ❙❛❧❡r♥♦ ❙▼❆▲▲ ❉❖❯❇▲■◆● ■◆ ♥✲❊◆●❊▲ ●❘❖❯P❙

Pr♦❜❧❡♠s ▲❡t ● ❜❡ ❛ ❣r♦✉♣✱ ❙ , ❚ ✜♥✐t❡ s✉❜s❡ts ♦❢ ● ✳ ❉✐r❡❝t ♣r♦❜❧❡♠s ✿ t♦ ✜♥❞ ✐♥❢♦r♠❛t✐♦♥ ❛❜♦✉t | ❙❚ | ✐♥ t❡r♠s ♦❢ | ❙ | ❛♥❞ | ❚ | ✳ ■♥✈❡rs❡ ♣r♦❜❧❡♠s ✿ t♦ ✜♥❞ ✐♥❢♦r♠❛t✐♦♥ ❛❜♦✉t t❤❡ str✉❝t✉r❡ ♦❢ ❙ ❛♥❞ ❚ ✐❢ t❤❡r❡ ✐s ❛ ❜♦✉♥❞ ❢♦r | ❙❚ | ✳ ❇❛s✐❝ ♣r♦❜❧❡♠s ✐♥ ❆❞❞✐t✐✈❡ ❈♦♠❜✐♥❛t♦r✐❝s ✳ P❛tr✐③✐❛ ▲♦♥❣♦❜❛r❞✐ ✲ ❯♥✐✈❡rs✐t② ♦❢ ❙❛❧❡r♥♦ ❙▼❆▲▲ ❉❖❯❇▲■◆● ■◆ ♥✲❊◆●❊▲ ●❘❖❯P❙

Pr♦❜❧❡♠s ▲❡t ❙ ❜❡ ❛ ✜♥✐t❡ s✉❜s❡t ♦❢ ❛ t♦rs✐♦♥✲❢r❡❡ ❣r♦✉♣ ● ✳ Pr♦❜❧❡♠ ✶ ❋✐♥❞ ✐♥❢♦r♠❛t✐♦♥ ♦♥ | ❙ ✷ | ✳ Pr♦❜❧❡♠ ✷ ❉❡t❡r♠✐♥❡ t❤❡ str✉❝t✉r❡ ♦❢ ❙ ✐❢ | ❙ ✷ | s❛t✐s✜❡s | ❙ ✷ | ≤ α | ❙ | + β ❢♦r s♦♠❡ s♠❛❧❧ α ≥ ✶ ❛♥❞ s♠❛❧❧ | β | ✳ Pr♦❜❧❡♠s ♦❢ ❦✐♥❞ ✭✷✮ ❛r❡ ❝❛❧❧❡❞ ✐♥✈❡rs❡ ♣r♦❜❧❡♠s ♦❢ s♠❛❧❧ ❞♦✉❜❧✐♥❣ t②♣❡✳ P❛tr✐③✐❛ ▲♦♥❣♦❜❛r❞✐ ✲ ❯♥✐✈❡rs✐t② ♦❢ ❙❛❧❡r♥♦ ❙▼❆▲▲ ❉❖❯❇▲■◆● ■◆ ♥✲❊◆●❊▲ ●❘❖❯P❙

rs - PowerPoint PPT Presentation

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Strichartz inequalities on surfaces with cusps Jean-Marc Bouclet Institut de Math ematiques de

Log-Minkowski measurability and complex dimensions Goran Radunovi c University of California,

Hermite versus Minkowski Jacques Martinet Universit e de Bordeaux, IMB/A2X Luminy,

Mean-width and mean-norm of isotropic convex bodies Aleksander Pe lczy nski Memorial

Analysis of BKZ Guillaume Hanrot, Xavier Pujol, Damien Stehl e ENSL, LIP, CNRS, INRIA,

Curvature and Diffusion in the Heisenberg group Nicolas JUILLET IRMA, Strasbourg Paris, IHP ,

Fubini type results for Hausdorff dimension Tam as Keleti with Korn elia H era and

Lattice Basis Reduction Part II: Algorithms Sanzheng Qiao Department of Computing and Software

An optimal Lp -bound on the Krein spectral shift function (Birmingham, November 1012, 2000)

Extremization problems in AdS/CFT a -maximization and attractor mechanism Akishi KATO (Math. Sci.,

The classification of empty 4-simplices Francisco Santos (joint with O. Iglesias-Vali no) U.

More Subgradient Calculus: Function Convexity first Following functions are again convex, but

Optimisation of the lowest eigenvalue induced by surface singular interactions Vladimir

Zonoids and sparsification of quantum measurements Guillaume AUBRUN (joint with C ecilia

Meta-Bayesian Analysis A Bayesian decision-theoretic analysis of Bayesian inference under model

Econ 2148, fall 2019 Text as data Maximilian Kasy Department of Economics, Harvard University 1

Latent class analysis and finite mixture models with Stata Isabel Canette Principal

Gaussian Mixture Models & EM CE-717: Machine Learning Sharif University of Technology M.

Recap: N -gram models ANLP Lecture 6 We can model sentence probs by conditioning each word on

Machine Learning Estimation Hamid R. Rabiee Spring 2015

4CSLL5 Parameter Estimation (Supervised and Unsupervised) Supervised Maximum Likelihood

Modernmachinelearningmethods fortrustworthyscience TomCharnock

Mobility Inequality in the United States 1 download slides at: www.inequality.com/slides

Supporting Mobility in MobilityFirst F. Zhang, K. Nagaraja, T. Nguyen, D. Raychaudhuri, Y. Zhang

rs - PowerPoint PPT Presentation

rs Ptr

Strichartz inequalities on surfaces with cusps Jean-Marc Bouclet Institut de Math ematiques de

Log-Minkowski measurability and complex dimensions Goran Radunovi c University of California,

Hermite versus Minkowski Jacques Martinet Universit e de Bordeaux, IMB/A2X Luminy,

Mean-width and mean-norm of isotropic convex bodies Aleksander Pe lczy nski Memorial

Analysis of BKZ Guillaume Hanrot, Xavier Pujol, Damien Stehl e ENSL, LIP, CNRS, INRIA,

Curvature and Diffusion in the Heisenberg group Nicolas JUILLET IRMA, Strasbourg Paris, IHP ,

Fubini type results for Hausdorff dimension Tam as Keleti with Korn elia H era and

Lattice Basis Reduction Part II: Algorithms Sanzheng Qiao Department of Computing and Software

An optimal Lp -bound on the Krein spectral shift function (Birmingham, November 1012, 2000)

Extremization problems in AdS/CFT a -maximization and attractor mechanism Akishi KATO (Math. Sci.,

The classification of empty 4-simplices Francisco Santos (joint with O. Iglesias-Vali no) U.

More Subgradient Calculus: Function Convexity first Following functions are again convex, but

Optimisation of the lowest eigenvalue induced by surface singular interactions Vladimir

Zonoids and sparsification of quantum measurements Guillaume AUBRUN (joint with C ecilia

Meta-Bayesian Analysis A Bayesian decision-theoretic analysis of Bayesian inference under model

Econ 2148, fall 2019 Text as data Maximilian Kasy Department of Economics, Harvard University 1

Latent class analysis and finite mixture models with Stata Isabel Canette Principal

Gaussian Mixture Models &amp; EM CE-717: Machine Learning Sharif University of Technology M.

Recap: N -gram models ANLP Lecture 6 We can model sentence probs by conditioning each word on

Machine Learning Estimation Hamid R. Rabiee Spring 2015

4CSLL5 Parameter Estimation (Supervised and Unsupervised) Supervised Maximum Likelihood

Modernmachinelearningmethods fortrustworthyscience TomCharnock

Mobility Inequality in the United States 1 download slides at: www.inequality.com/slides

Supporting Mobility in MobilityFirst F. Zhang, K. Nagaraja, T. Nguyen, D. Raychaudhuri, Y. Zhang

Gaussian Mixture Models & EM CE-717: Machine Learning Sharif University of Technology M.