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#inferences — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #inferences, aggregated by home.social.

  1. @westphalchristian @arnaudchampollion
    App très pratique et facilement utilisable en classe par les élèves au VPI. Lecture d'images, #inferences
    L'application Spot de #Openboard est plus basique que la version de feu #opensankore qui permettait de jouer sur la transparence et la persistance du spot. Une demande d'amélioration sur #openboard dans ce sens est possible.

    ..

  2. @westphalchristian @arnaudchampollion
    App très pratique et facilement utilisable en classe par les élèves au VPI. Lecture d'images, #inferences
    L'application Spot de #Openboard est plus basique que la version de feu #opensankore qui permettait de jouer sur la transparence et la persistance du spot. Une demande d'amélioration sur #openboard dans ce sens est possible.

    ..

  3. @westphalchristian @arnaudchampollion
    App très pratique et facilement utilisable en classe par les élèves au VPI. Lecture d'images, #inferences
    L'application Spot de #Openboard est plus basique que la version de feu #opensankore qui permettait de jouer sur la transparence et la persistance du spot. Une demande d'amélioration sur #openboard dans ce sens est possible.

    ..

  4. @westphalchristian @arnaudchampollion
    App très pratique et facilement utilisable en classe par les élèves au VPI. Lecture d'images, #inferences
    L'application Spot de #Openboard est plus basique que la version de feu #opensankore qui permettait de jouer sur la transparence et la persistance du spot. Une demande d'amélioration sur #openboard dans ce sens est possible.

    ..

  5. 'High-Dimensional Inference for Generalized Linear Models with Hidden Confounding', by Jing Ouyang, Kean Ming Tan, Gongjun Xu.

    jmlr.org/papers/v24/22-0834.ht

    #confounders #inferences #debiasing

  6. 'High-Dimensional Inference for Generalized Linear Models with Hidden Confounding', by Jing Ouyang, Kean Ming Tan, Gongjun Xu.

    jmlr.org/papers/v24/22-0834.ht

    #confounders #inferences #debiasing

  7. 'High-Dimensional Inference for Generalized Linear Models with Hidden Confounding', by Jing Ouyang, Kean Ming Tan, Gongjun Xu.

    jmlr.org/papers/v24/22-0834.ht

    #confounders #inferences #debiasing

  8. 'High-Dimensional Inference for Generalized Linear Models with Hidden Confounding', by Jing Ouyang, Kean Ming Tan, Gongjun Xu.

    jmlr.org/papers/v24/22-0834.ht

    #confounders #inferences #debiasing

  9. 'High-Dimensional Inference for Generalized Linear Models with Hidden Confounding', by Jing Ouyang, Kean Ming Tan, Gongjun Xu.

    jmlr.org/papers/v24/22-0834.ht

    #confounders #inferences #debiasing

  10. Off-Policy Evaluation with Out-of-Sample Guarantees

    Sofia Ek, Dave Zachariah, Fredrik D. Johansson, Peter Stoica

    Action editor: Alain Oliviero Durmus.

    openreview.net/forum?id=XnYtGP

    #coverage #policy #inferences

  11. Off-Policy Evaluation with Out-of-Sample Guarantees

    Sofia Ek, Dave Zachariah, Fredrik D. Johansson, Peter Stoica

    Action editor: Alain Oliviero Durmus.

    openreview.net/forum?id=XnYtGP

    #coverage #policy #inferences

  12. Off-Policy Evaluation with Out-of-Sample Guarantees

    Sofia Ek, Dave Zachariah, Fredrik D. Johansson, Peter Stoica

    Action editor: Alain Oliviero Durmus.

    openreview.net/forum?id=XnYtGP

    #coverage #policy #inferences

  13. Off-Policy Evaluation with Out-of-Sample Guarantees

    Sofia Ek, Dave Zachariah, Fredrik D. Johansson, Peter Stoica

    Action editor: Alain Oliviero Durmus.

    openreview.net/forum?id=XnYtGP

    #coverage #policy #inferences

  14. Off-Policy Evaluation with Out-of-Sample Guarantees

    Sofia Ek, Dave Zachariah, Fredrik D. Johansson, Peter Stoica

    Action editor: Alain Oliviero Durmus.

    openreview.net/forum?id=XnYtGP

    #coverage #policy #inferences

  15. #Meta is having a very bad year. The latest decision (issued by the #CJEU yesterday in Meta Platforms Inc, et al., v. Bundeskartellamt, C-C252/21) adds to their woes, but more importantly, I anticipate it will force us all to re-evaluate #processing, #lawful bases, special category data, and #inferences derived from that data.

    In my article, I explore the case in detail, as well as some hypotheses on the impact of this decision broadly to #BigTech, with examples.

    But I'm curious to hear your thoughts and observations. Am I being a Cassandra? Overly pessimistic? Completely overthinking this? What implications am I missing?

    I'll note here (even though I didn't mention it in the article) that this may also portend the effective death of the One Stop Shop mechanism, which is already on shaky ground after the whole spat between the #DPC and other regulators. Who needs Ireland if competition authorities can also raise issues under the GDPR?

    CJEU case: curia.europa.eu/juris/document

    Substack: careylening.substack.com/p/met

  16. #Meta is having a very bad year. The latest decision (issued by the #CJEU yesterday in Meta Platforms Inc, et al., v. Bundeskartellamt, C-C252/21) adds to their woes, but more importantly, I anticipate it will force us all to re-evaluate #processing, #lawful bases, special category data, and #inferences derived from that data.

    In my article, I explore the case in detail, as well as some hypotheses on the impact of this decision broadly to #BigTech, with examples.

    But I'm curious to hear your thoughts and observations. Am I being a Cassandra? Overly pessimistic? Completely overthinking this? What implications am I missing?

    I'll note here (even though I didn't mention it in the article) that this may also portend the effective death of the One Stop Shop mechanism, which is already on shaky ground after the whole spat between the #DPC and other regulators. Who needs Ireland if competition authorities can also raise issues under the GDPR?

    CJEU case: curia.europa.eu/juris/document

    Substack: careylening.substack.com/p/met

  17. #Meta is having a very bad year. The latest decision (issued by the #CJEU yesterday in Meta Platforms Inc, et al., v. Bundeskartellamt, C-C252/21) adds to their woes, but more importantly, I anticipate it will force us all to re-evaluate #processing, #lawful bases, special category data, and #inferences derived from that data.

    In my article, I explore the case in detail, as well as some hypotheses on the impact of this decision broadly to #BigTech, with examples.

    But I'm curious to hear your thoughts and observations. Am I being a Cassandra? Overly pessimistic? Completely overthinking this? What implications am I missing?

    I'll note here (even though I didn't mention it in the article) that this may also portend the effective death of the One Stop Shop mechanism, which is already on shaky ground after the whole spat between the #DPC and other regulators. Who needs Ireland if competition authorities can also raise issues under the GDPR?

    CJEU case: curia.europa.eu/juris/document

    Substack: careylening.substack.com/p/met

  18. #Meta is having a very bad year. The latest decision (issued by the #CJEU yesterday in Meta Platforms Inc, et al., v. Bundeskartellamt, C-C252/21) adds to their woes, but more importantly, I anticipate it will force us all to re-evaluate #processing, #lawful bases, special category data, and #inferences derived from that data.

    In my article, I explore the case in detail, as well as some hypotheses on the impact of this decision broadly to #BigTech, with examples.

    But I'm curious to hear your thoughts and observations. Am I being a Cassandra? Overly pessimistic? Completely overthinking this? What implications am I missing?

    I'll note here (even though I didn't mention it in the article) that this may also portend the effective death of the One Stop Shop mechanism, which is already on shaky ground after the whole spat between the #DPC and other regulators. Who needs Ireland if competition authorities can also raise issues under the GDPR?

    CJEU case: curia.europa.eu/juris/document

    Substack: careylening.substack.com/p/met

  19. #Meta is having a very bad year. The latest decision (issued by the #CJEU yesterday in Meta Platforms Inc, et al., v. Bundeskartellamt, C-C252/21) adds to their woes, but more importantly, I anticipate it will force us all to re-evaluate #processing, #lawful bases, special category data, and #inferences derived from that data.

    In my article, I explore the case in detail, as well as some hypotheses on the impact of this decision broadly to #BigTech, with examples.

    But I'm curious to hear your thoughts and observations. Am I being a Cassandra? Overly pessimistic? Completely overthinking this? What implications am I missing?

    I'll note here (even though I didn't mention it in the article) that this may also portend the effective death of the One Stop Shop mechanism, which is already on shaky ground after the whole spat between the #DPC and other regulators. Who needs Ireland if competition authorities can also raise issues under the GDPR?

    CJEU case: curia.europa.eu/juris/document

    Substack: careylening.substack.com/p/met

  20. New work by Melissa Johnston et al. (2023) shows, that #crows demonstrate the ability to make #statistical #inferences and maximize rewards based on memorized probabilities. These birds represent probabilities as abstract magnitudes and utilize relative reward frequencies, showcasing #decisionmaking skills beyond the primate lineage.

    📔 cell.com/current-biology/fullt
    #comoutationalneuroscience

  21. New work by Melissa Johnston et al. (2023) shows, that #crows demonstrate the ability to make #statistical #inferences and maximize rewards based on memorized probabilities. These birds represent probabilities as abstract magnitudes and utilize relative reward frequencies, showcasing #decisionmaking skills beyond the primate lineage.

    📔 cell.com/current-biology/fullt
    #comoutationalneuroscience

  22. New work by Melissa Johnston et al. (2023) shows, that #crows demonstrate the ability to make #statistical #inferences and maximize rewards based on memorized probabilities. These birds represent probabilities as abstract magnitudes and utilize relative reward frequencies, showcasing #decisionmaking skills beyond the primate lineage.

    📔 cell.com/current-biology/fullt
    #comoutationalneuroscience

  23. New work by Melissa Johnston et al. (2023) shows, that #crows demonstrate the ability to make #statistical #inferences and maximize rewards based on memorized probabilities. These birds represent probabilities as abstract magnitudes and utilize relative reward frequencies, showcasing #decisionmaking skills beyond the primate lineage.

    📔 cell.com/current-biology/fullt
    #comoutationalneuroscience

  24. New work by Melissa Johnston et al. (2023) shows, that #crows demonstrate the ability to make #statistical #inferences and maximize rewards based on memorized probabilities. These birds represent probabilities as abstract magnitudes and utilize relative reward frequencies, showcasing #decisionmaking skills beyond the primate lineage.

    📔 cell.com/current-biology/fullt
    #comoutationalneuroscience

  25. Dear Friends,

    @heatmap_news is really promising but I can't agree to their #privacy policy. I get where they are coming from, but not ready to follow them there. #Tracking and #targeting #ads (and #retargeting) based on #behavioral #inferences are at the root of the destructiveness of the #recursive #web.

    ESM

    #ClimateDiary
    @pluralistic

  26. Dear Friends,

    @heatmap_news is really promising but I can't agree to their #privacy policy. I get where they are coming from, but not ready to follow them there. #Tracking and #targeting #ads (and #retargeting) based on #behavioral #inferences are at the root of the destructiveness of the #recursive #web.

    ESM

    #ClimateDiary
    @pluralistic

  27. Dear Friends,

    @heatmap_news is really promising but I can't agree to their #privacy policy. I get where they are coming from, but not ready to follow them there. #Tracking and #targeting #ads (and #retargeting) based on #behavioral #inferences are at the root of the destructiveness of the #recursive #web.

    ESM

    #ClimateDiary
    @pluralistic

  28. Dear Friends,

    @[email protected] is really promising but I can't agree to their policy. I get where they are coming from, but not ready to follow them there. and (and ) based on are at the root of the destructiveness of the .

    ESM


    @pluralistic

  29. Dear Friends,

    @heatmap_news is really promising but I can't agree to their #privacy policy. I get where they are coming from, but not ready to follow them there. #Tracking and #targeting #ads (and #retargeting) based on #behavioral #inferences are at the root of the destructiveness of the #recursive #web.

    ESM

    #ClimateDiary
    @pluralistic

  30. @Pat
    I believe that is just a #record of an interaction between two (or more) physical #structures.

    Memory requires an entire physical #system able to preserve the #information contained in this record from one moment in time to another until it is retrieved (by the system) and used for something else.

    According to #HvFoerster, the “integrated functional circuit” for #Cognition requires three things:

    1⃣ #Perception
    2⃣ #Memory, and
    3⃣ #Prediction

    Prediction is essential for drawing (memory-based) #inferences

    ” without which perception degenerates into #sensation and memory into #recording”.

    See pp 105-106 in the quite interesting collection of his thoughts Understanding Understanding

    link.springer.com/book/10.1007

  31. @Pat
    I believe that is just a #record of an interaction between two (or more) physical #structures.

    Memory requires an entire physical #system able to preserve the #information contained in this record from one moment in time to another until it is retrieved (by the system) and used for something else.

    According to #HvFoerster, the “integrated functional circuit” for #Cognition requires three things:

    1⃣ #Perception
    2⃣ #Memory, and
    3⃣ #Prediction

    Prediction is essential for drawing (memory-based) #inferences

    ” without which perception degenerates into #sensation and memory into #recording”.

    See pp 105-106 in the quite interesting collection of his thoughts Understanding Understanding

    link.springer.com/book/10.1007

  32. @Pat
    I believe that is just a #record of an interaction between two (or more) physical #structures.

    Memory requires an entire physical #system able to preserve the #information contained in this record from one moment in time to another until it is retrieved (by the system) and used for something else.

    According to #HvFoerster, the “integrated functional circuit” for #Cognition requires three things:

    1⃣ #Perception
    2⃣ #Memory, and
    3⃣ #Prediction

    Prediction is essential for drawing (memory-based) #inferences

    ” without which perception degenerates into #sensation and memory into #recording”.

    See pp 105-106 in the quite interesting collection of his thoughts Understanding Understanding

    link.springer.com/book/10.1007

  33. @Pat
    I believe that is just a #record of an interaction between two (or more) physical #structures.

    Memory requires an entire physical #system able to preserve the #information contained in this record from one moment in time to another until it is retrieved (by the system) and used for something else.

    According to #HvFoerster, the “integrated functional circuit” for #Cognition requires three things:

    1⃣ #Perception
    2⃣ #Memory, and
    3⃣ #Prediction

    Prediction is essential for drawing (memory-based) #inferences

    ” without which perception degenerates into #sensation and memory into #recording”.

    See pp 105-106 in the quite interesting collection of his thoughts Understanding Understanding

    link.springer.com/book/10.1007

  34. According to #HvFoerster, the integrated functional circuit for #cognition requires these three faculties:

    1️⃣ #Perception - without which the system cannot detect and internally represent environmental regularities,
    2️⃣ #Memory - without which the system has only throughput (cannot learn)
    3️⃣ #Prediction - or the faculty of drawing #inferences, without which perception degenerates into #sensation and memory into #recording.

    Understanding Understanding: Essays on Cybernetics and Cognition - pp 105-106

  35. According to #HvFoerster, the integrated functional circuit for #cognition requires these three faculties:

    1️⃣ #Perception - without which the system cannot detect and internally represent environmental regularities,
    2️⃣ #Memory - without which the system has only throughput (cannot learn)
    3️⃣ #Prediction - or the faculty of drawing #inferences, without which perception degenerates into #sensation and memory into #recording.

    Understanding Understanding: Essays on Cybernetics and Cognition - pp 105-106

  36. According to #HvFoerster, the integrated functional circuit for #cognition requires these three faculties:

    1️⃣ #Perception - without which the system cannot detect and internally represent environmental regularities,
    2️⃣ #Memory - without which the system has only throughput (cannot learn)
    3️⃣ #Prediction - or the faculty of drawing #inferences, without which perception degenerates into #sensation and memory into #recording.

    Understanding Understanding: Essays on Cybernetics and Cognition - pp 105-106

  37. According to #HvFoerster, the integrated functional circuit for #cognition requires these three faculties:

    1️⃣ #Perception - without which the system cannot detect and internally represent environmental regularities,
    2️⃣ #Memory - without which the system has only throughput (cannot learn)
    3️⃣ #Prediction - or the faculty of drawing #inferences, without which perception degenerates into #sensation and memory into #recording.

    Understanding Understanding: Essays on Cybernetics and Cognition - pp 105-106

  38. I just changed instances. Hello #aus.social! Glad to be here!

    Here's an #introduction.

    I'm a #prof in computational #cogsci at #UniMelb. I use behavioural experiments and mathematical models to study how people #learn and #reason. I think a lot about how we make #inferences from sparse #data, how we #share information with each other, and how this affects our #cultural and #informational #systems.

    I am a #parent to two amazing kids, love #teaching #rstats to psychology undergraduates, am an #American living in #Australia (citizen of both) in the beautiful #Dandenongs, and am #trans (see post below). I try not to take myself too seriously, especially on social media.

    perfors.net/blog/im-transgende

  39. I just changed instances. Hello #aus.social! Glad to be here!

    Here's an #introduction.

    I'm a #prof in computational #cogsci at #UniMelb. I use behavioural experiments and mathematical models to study how people #learn and #reason. I think a lot about how we make #inferences from sparse #data, how we #share information with each other, and how this affects our #cultural and #informational #systems.

    I am a #parent to two amazing kids, love #teaching #rstats to psychology undergraduates, am an #American living in #Australia (citizen of both) in the beautiful #Dandenongs, and am #trans (see post below). I try not to take myself too seriously, especially on social media.

    perfors.net/blog/im-transgende

  40. I just changed instances. Hello #aus.social! Glad to be here!

    Here's an #introduction.

    I'm a #prof in computational #cogsci at #UniMelb. I use behavioural experiments and mathematical models to study how people #learn and #reason. I think a lot about how we make #inferences from sparse #data, how we #share information with each other, and how this affects our #cultural and #informational #systems.

    I am a #parent to two amazing kids, love #teaching #rstats to psychology undergraduates, am an #American living in #Australia (citizen of both) in the beautiful #Dandenongs, and am #trans (see post below). I try not to take myself too seriously, especially on social media.

    perfors.net/blog/im-transgende

  41. I just changed instances. Hello #aus.social! Glad to be here!

    Here's an #introduction.

    I'm a #prof in computational #cogsci at #UniMelb. I use behavioural experiments and mathematical models to study how people #learn and #reason. I think a lot about how we make #inferences from sparse #data, how we #share information with each other, and how this affects our #cultural and #informational #systems.

    I am a #parent to two amazing kids, love #teaching #rstats to psychology undergraduates, am an #American living in #Australia (citizen of both) in the beautiful #Dandenongs, and am #trans (see post below). I try not to take myself too seriously, especially on social media.

    perfors.net/blog/im-transgende

  42. I just changed instances. Hello #aus.social! Glad to be here!

    Here's an #introduction.

    I'm a #prof in computational #cogsci at #UniMelb. I use behavioural experiments and mathematical models to study how people #learn and #reason. I think a lot about how we make #inferences from sparse #data, how we #share information with each other, and how this affects our #cultural and #informational #systems.

    I am a #parent to two amazing kids, love #teaching #rstats to psychology undergraduates, am an #American living in #Australia (citizen of both) in the beautiful #Dandenongs, and am #trans (see post below). I try not to take myself too seriously, especially on social media.

    perfors.net/blog/im-transgende

  43. (Un)popular opinion, I am actually glad to be able to make #inferences about the relevance of content based on the number of likes, comments, & shares it already has. Not the only measure, of course, but definitely helpful, when cross-validated with account & topic.

  44. (Un)popular opinion, I am actually glad to be able to make #inferences about the relevance of content based on the number of likes, comments, & shares it already has. Not the only measure, of course, but definitely helpful, when cross-validated with account & topic.

  45. (Un)popular opinion, I am actually glad to be able to make #inferences about the relevance of content based on the number of likes, comments, & shares it already has. Not the only measure, of course, but definitely helpful, when cross-validated with account & topic.

  46. RT @[email protected]

    I'll summarize our study on the privacy implications of eye tracking, which was widely shared & discussed online over the last weeks 🥳 Time for a thread. #eyetracking #privacy #dataprotection #machinelearning #AI #inferences 1/19

    🐦🔗: twitter.com/JL_Kroger/status/1

  47. RT @[email protected]

    I'll summarize our study on the privacy implications of eye tracking, which was widely shared & discussed online over the last weeks 🥳 Time for a thread. #eyetracking #privacy #dataprotection #machinelearning #AI #inferences 1/19

    🐦🔗: twitter.com/JL_Kroger/status/1