Conditional tSNE Bo Kang Jefrey Lijffijt Tijl De Bie Ghent - PowerPoint PPT Presentation

Dec 02, 2022 •210 likes •556 views

Conditional tSNE Bo Kang Jefrey Lijffijt Tijl De Bie Ghent University Daro Garca Garca Facebook Ral Santos-Rodrguez University of Bristol Motivation High dim data embeddings often have confounding factors. Factors: known,

Conditional tSNE Bo Kang Jefrey Lijffijt Tijl De Bie Ghent University Darío García García Facebook Raúl Santos-Rodríguez University of Bristol
Motivation • High dim data embeddings often have confounding factors. • Factors: known, unknown but dominant, sensitive.
Motivation UCI Adult dataset
Motivation • High dim data embeddings often has confounding factors • Factors that are known, unknown but dominant, sensitive. • Find embedding with confounding factors explained away?

Recommend

TRANSFERRING DIFFUSION BASED MANIFOLD C Diffusion Maps Embryoid Bodies tSNE PHATE PCA

Myeloid Cells Endothelial-Myeloid Progenitors PHATE 2 Genes tem Cell Endothelium Blastocysts Muscle Precursors Vascular muscle cells Cells PHATE 1 B Diffusion Maps Articifical Tree tSNE PHATE PCA TRANSFERRING DIFFUSION BASED

1.01k views • 37 slides

Review: Conditional Probability Conditional Probability The conditional probability of event

Review: Conditional Probability Conditional Probability The conditional probability of event given event is = Pr(E ) Pr Pr() Well defined only if Pr Sofya Raskhodnikova; Randomness in

190 views • 5 slides

11/15/16 Conditional distributions Let X and Y be discrete r.v.s. Conditional probability mass

11/15/16 Conditional distributions Let X and Y be discrete r.v.s. Conditional probability mass function of X given that Y=y p X | Y ( x | y ) = Pr ( X = x | Y = y ) Conditional distributions, conditional expectation = Pr ( X = x, Y = y ) = p (

516 views • 3 slides

Conditional Statements Python Conditional Statements Sometimes a statement (or a block of

Conditional Statements Python Conditional Statements Sometimes a statement (or a block of statements) should only be executed if a condition is true. Conditional execution is implemented with the if- statement Form of the

154 views • 14 slides

Markov random fields 2. conditional specifications 3. conditional auto-regression Rasmus

Outline: 1. specification of joint distributions Markov random fields 2. conditional specifications 3. conditional auto-regression Rasmus Waagepetersen 4. Brooks factorization, 5. conditional independence and graphs 6. Hammersley-Clifford

205 views • 9 slides

Formal Modeling in Cognitive Science Independence Lecture 23: Conditional Probability; Bayes

Conditional Probability and Independence Conditional Probability and Independence Bayes Theorem Bayes Theorem An Application of Bayes Theorem An Application of Bayes Theorem 1 Conditional Probability and Independence Conditional

247 views • 6 slides

Conditional Sentences as Conditional Speech Acts Workshop Questioning Speech Acts Universitt

Conditional Sentences as Conditional Speech Acts Workshop Questioning Speech Acts Universitt Konstanz September 14-16, 2017 Manfred Krifka krifka@leibniz-zas.de Two analyses of conditionals Two examples of conditional sentences: 1) If

347 views • 15 slides

Conditional Probability & Independence Conditional Probabilities Question : How should we

Conditional Probability & Independence Conditional Probabilities Question : How should we modify P ( E ) if we learn that event F has occurred? Definition : the conditional probability of E given F is P ( E | F ) = P ( E \ F ) , for P

601 views • 24 slides

P( ) 1 conditional probability where P(F) > 0 Conditional probability of E given F:

Conditional Probability P( ) 1 conditional probability where P(F) > 0 Conditional probability of E given F: probability that E occurs given that F has occurred. Ehf F FE Conditioning on F Written as P(E|F) Ser Means P(E,

735 views • 35 slides

Multiscale Conditional 1) Generalization of conditional random fields (CRF) to multiscale

Contributions Multiscale Conditional 1) Generalization of conditional random fields (CRF) to multiscale conditional Random Fields for Image random fields (mCRF) Labeling 2) Learning features of the random field at multiple scales Xuming He,

374 views • 8 slides

15. The Conditional 15.1 The conditional: Formation and uses 15.2 Mise en pratique 15.1 The

15. The Conditional 15.1 The conditional: Formation and uses 15.2 Mise en pratique 15.1 The Conditional: Formation and Uses Mme Legendre is talking to a friend about her hopes and wishes for the future: Un jour, jaimerais changer de

191 views • 15 slides

Conditional Probability & Independence Conditional Probabilities Question : How should we

529 views • 26 slides

Conditional Random Fields [Hanna M. Wallach, Conditional Random Fields: An Introduction,

Conditional Random Fields [Hanna M. Wallach, Conditional Random Fields: An Introduction, Technical Report MS-CIS- 04-21, University of Pensylvania, 2004 . ] CS 486/686 University of Waterloo Lecture 19: March 13, 2012 Outline Conditional

243 views • 6 slides

Blended Conditional Gradients: The unconditioning of conditional gradients Joint work with Gabor

Blended Conditional Gradients: The unconditioning of conditional gradients Joint work with Gabor Braun, Sebastian Pokutta, Steve Wright Dan Tu 1/9 CONDITIONAL GRADIENTS: PROJECTION-FREE Given a polytope ! , solve the optimization problem: min

109 views • 9 slides

Protocol for Booleans ifTrue:ifFalse: trueBlock falseBlock Full conditional Part conditional

Protocol for Booleans ifTrue:ifFalse: trueBlock falseBlock Full conditional Part conditional (for side effect) ifTrue: trueBlock Part conditional (for side effect) ifFalse: falseBlock Conjunction & aBoolean Disjunction | aBoolean

550 views • 25 slides

Topic 6 Conditional Probability and Independence Conditional Probability 1 / 9 Definition The

Definition The Multiplication Principle The Law of Total Probability Topic 6 Conditional Probability and Independence Conditional Probability 1 / 9 Definition The Multiplication Principle The Law of Total Probability Outline Definition

462 views • 9 slides

A fluctuating boundary integral method for Brownian suspensions Yuanxun Bill Bao 1 Manas Rachh 2

A fluctuating boundary integral method for Brownian suspensions Yuanxun Bill Bao 1 Manas Rachh 2 Eric Keaveny 3 Leslie Greengard 1 Aleksandar Donev 1 1 Courant Institute, NYU 2 Yale University 3 Imperial College London Complex Creeping Fluids:

560 views • 22 slides

Ellie Dodge, PhD Angelina Maia, PhD, RD University of New England, Program R.I.T,

Ellie Dodge, PhD Angelina Maia, PhD, RD University of New England, Program R.I.T, Nutrition Lecturer, Wegmans Director, MS Applied Nutrition School of Health and Nutrition Participants will engage in a conversation about

418 views • 23 slides

Stochastic Deep Networks Gwendoline De Bie, Gabriel Peyr, Marco Cuturi Deep Architectures on

Stochastic Deep Networks Gwendoline De Bie, Gabriel Peyr, Marco Cuturi Deep Architectures on Density Inputs t=1, 1000 cells t=2, 650 cells t=3, 890 cells of varying physical attributes Representing inputs as densities (discretized in practice)

304 views • 7 slides

2 Dirac-Dunkl operator and a higher rank Bannai-Ito algebra Vincent X. Genest Department of

The Z n 2 Dirac-Dunkl operator and a higher rank Bannai-Ito algebra Vincent X. Genest Department of Mathematics Massachusetts Institute of Technology Collaborators: H. De Bie (Ghent) L. Vinet (Montreal)

425 views • 27 slides

Gaussian Processes for Active Sensor Management Alexander N. Dolia , University of Southampton

OED for KRR, and the MVCE Gaussian Processes for Active Sensor Management Alexander N. Dolia , University of Southampton This poster is based on A.N.Dolia, C.J.Harris, J.Shawe-Taylor, D.M.Titterington, Kernel Ellipsoidal Trimming , submitted

162 views • 11 slides

Numb3rs 11 2 10 3 GCD 9 4 8 5 7 6 The Skippy Clock 0 12 1 Has 13 hours on its dial!

0 12 1 Numb3rs 11 2 10 3 GCD 9 4 8 5 7 6 The Skippy Clock 0 12 1 Has 13 hours on its dial! 11 2 Needle moves two hours at a time 10 3 Which all numbers will the needle 9 4 reach? 8 5 7 6 Reaches all of them!

420 views • 12 slides

March 8, 2019 Agenda GILTI-related Consolidated Issues FDII-related Issues

Impact of TCJA on Corporations, Part II: Section 951A (GILTI), Section 250 (FDII), Section 59A (BEAT), and Section 965 (Transition Tax) Moderator Scott Levine, Jones Day Panelists Lawrence Axelrod, Morgan Lewis & Bockius LLP Bryan

1.08k views • 94 slides

Passenger-oriented railway disposition timetables in case of severe disruptions Yousef Maknoon

Passenger-oriented railway disposition timetables in case of severe disruptions Yousef Maknoon Michel Bierlaire Stefan Binder STRC 2015, April 17th Outline Motivation Problem description Research question Assumptions Formal problem

372 views • 33 slides

Download document

More recommend

Explore More Topics

Stay informed with curated content and fresh updates.

animals pets art culture automotive transportation business finance computer internet construction architecture education-career electronics communication

Conditional tSNE Bo Kang Jefrey Lijffijt Tijl De Bie Ghent - PowerPoint PPT Presentation

Conditional tSNE Bo Kang Jefrey Lijffijt Tijl De Bie Ghent University Daro Garca Garca Facebook Ral Santos-Rodrguez University of Bristol Motivation High dim data embeddings often have confounding factors. Factors: known,

TRANSFERRING DIFFUSION BASED MANIFOLD C Diffusion Maps Embryoid Bodies tSNE PHATE PCA

Review: Conditional Probability Conditional Probability The conditional probability of event

11/15/16 Conditional distributions Let X and Y be discrete r.v.s. Conditional probability mass

Conditional Statements Python Conditional Statements Sometimes a statement (or a block of

Markov random fields 2. conditional specifications 3. conditional auto-regression Rasmus

Formal Modeling in Cognitive Science Independence Lecture 23: Conditional Probability; Bayes

Conditional Sentences as Conditional Speech Acts Workshop Questioning Speech Acts Universitt

Conditional Probability & Independence Conditional Probabilities Question : How should we

P( ) 1 conditional probability where P(F) > 0 Conditional probability of E given F:

Multiscale Conditional 1) Generalization of conditional random fields (CRF) to multiscale

15. The Conditional 15.1 The conditional: Formation and uses 15.2 Mise en pratique 15.1 The

Conditional Probability & Independence Conditional Probabilities Question : How should we

Conditional Random Fields [Hanna M. Wallach, Conditional Random Fields: An Introduction,

Blended Conditional Gradients: The unconditioning of conditional gradients Joint work with Gabor

Protocol for Booleans ifTrue:ifFalse: trueBlock falseBlock Full conditional Part conditional

Topic 6 Conditional Probability and Independence Conditional Probability 1 / 9 Definition The

A fluctuating boundary integral method for Brownian suspensions Yuanxun Bill Bao 1 Manas Rachh 2

Ellie Dodge, PhD Angelina Maia, PhD, RD University of New England, Program R.I.T,

Stochastic Deep Networks Gwendoline De Bie, Gabriel Peyr, Marco Cuturi Deep Architectures on

2 Dirac-Dunkl operator and a higher rank Bannai-Ito algebra Vincent X. Genest Department of

Gaussian Processes for Active Sensor Management Alexander N. Dolia , University of Southampton

Numb3rs 11 2 10 3 GCD 9 4 8 5 7 6 The Skippy Clock 0 12 1 Has 13 hours on its dial!

March 8, 2019 Agenda GILTI-related Consolidated Issues FDII-related Issues

Passenger-oriented railway disposition timetables in case of severe disruptions Yousef Maknoon

Explore More Topics

Sambuz

Useful Links

Newsletter

Mail Us

Conditional tSNE Bo Kang Jefrey Lijffijt Tijl De Bie Ghent - PowerPoint PPT Presentation

Conditional tSNE Bo Kang Jefrey Lijffijt Tijl De Bie Ghent University Daro Garca Garca Facebook Ral Santos-Rodrguez University of Bristol Motivation High dim data embeddings often have confounding factors. Factors: known,

TRANSFERRING DIFFUSION BASED MANIFOLD C Diffusion Maps Embryoid Bodies tSNE PHATE PCA

Review: Conditional Probability Conditional Probability The conditional probability of event

11/15/16 Conditional distributions Let X and Y be discrete r.v.s. Conditional probability mass

Conditional Statements Python Conditional Statements Sometimes a statement (or a block of

Markov random fields 2. conditional specifications 3. conditional auto-regression Rasmus

Formal Modeling in Cognitive Science Independence Lecture 23: Conditional Probability; Bayes

Conditional Sentences as Conditional Speech Acts Workshop Questioning Speech Acts Universitt

Conditional Probability &amp; Independence Conditional Probabilities Question : How should we

P( ) 1 conditional probability where P(F) &gt; 0 Conditional probability of E given F:

Multiscale Conditional 1) Generalization of conditional random fields (CRF) to multiscale

15. The Conditional 15.1 The conditional: Formation and uses 15.2 Mise en pratique 15.1 The

Conditional Probability &amp; Independence Conditional Probabilities Question : How should we

Conditional Random Fields [Hanna M. Wallach, Conditional Random Fields: An Introduction,

Blended Conditional Gradients: The unconditioning of conditional gradients Joint work with Gabor

Protocol for Booleans ifTrue:ifFalse: trueBlock falseBlock Full conditional Part conditional

Topic 6 Conditional Probability and Independence Conditional Probability 1 / 9 Definition The

A fluctuating boundary integral method for Brownian suspensions Yuanxun Bill Bao 1 Manas Rachh 2

Ellie Dodge, PhD Angelina Maia, PhD, RD University of New England, Program R.I.T,

Stochastic Deep Networks Gwendoline De Bie, Gabriel Peyr, Marco Cuturi Deep Architectures on

2 Dirac-Dunkl operator and a higher rank Bannai-Ito algebra Vincent X. Genest Department of

Gaussian Processes for Active Sensor Management Alexander N. Dolia , University of Southampton

Numb3rs 11 2 10 3 GCD 9 4 8 5 7 6 The Skippy Clock 0 12 1 Has 13 hours on its dial!

March 8, 2019 Agenda GILTI-related Consolidated Issues FDII-related Issues

Passenger-oriented railway disposition timetables in case of severe disruptions Yousef Maknoon

Explore More Topics

Sambuz

Useful Links

Newsletter

Mail Us

Conditional Probability & Independence Conditional Probabilities Question : How should we

P( ) 1 conditional probability where P(F) > 0 Conditional probability of E given F:

Conditional Probability & Independence Conditional Probabilities Question : How should we