KRRtwo-layerMNISTtwo-layerdeepneteigen{value,vector,function}generalizationwidthadversarialgenerativespikedepthmeanfieldspikekernelsparsitygeneralizationlosslandscapetwo-layerKRRkernelGaussiandataempiricalgenerativereplicathermo-dynamiclimitgradientdescentMNISTscalinggradientdescentgeneralizationeigen-{value,vector,function}meanfieldinversetemperaturedeepnetreplica{under, over}-parameterizedKRRthermo-dynamiclimit{under, over}-parameterized.NTKNTKspikethermo-dynamiclimitNTKnumericsnumericsdeepnetreplicalosslandscaperandom(and/or)noisewidtheigen{value,vector,function}HessiansparsityHowmuch timedo I/wehave?inversetemperature{under, over}-parameterized.COVIDrandom(and/or)noiseempiricalrandom(and/or)noisedepthscalingCOVIDlosslandscapegradientdescentMNISTHowmuch timedo I/wehave?GaussiandataHowmuch timedo I/wehave?HessianwidthHessianCOVIDGaussiandataempiricalsparsitymeanfieldinversetemperatureadversarialadversarialgenerativenumericskerneldepthscalingKRRtwo-layerMNISTtwo-layerdeepneteigen{value,vector,function}generalizationwidthadversarialgenerativespikedepthmeanfieldspikekernelsparsitygeneralizationlosslandscapetwo-layerKRRkernelGaussiandataempiricalgenerativereplicathermo-dynamiclimitgradientdescentMNISTscalinggradientdescentgeneralizationeigen-{value,vector,function}meanfieldinversetemperaturedeepnetreplica{under, over}-parameterizedKRRthermo-dynamiclimit{under, over}-parameterized.NTKNTKspikethermo-dynamiclimitNTKnumericsnumericsdeepnetreplicalosslandscaperandom(and/or)noisewidtheigen{value,vector,function}HessiansparsityHowmuch timedo I/wehave?inversetemperature{under, over}-parameterized.COVIDrandom(and/or)noiseempiricalrandom(and/or)noisedepthscalingCOVIDlosslandscapegradientdescentMNISTHowmuch timedo I/wehave?GaussiandataHowmuch timedo I/wehave?HessianwidthHessianCOVIDGaussiandataempiricalsparsitymeanfieldinversetemperatureadversarialadversarialgenerativenumericskerneldepthscaling

Les Houches 2022 Summer school on Statistical Physics & Machine Learning - Call List

(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.


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  1. KRR
  2. two-layer
  3. MNIST
  4. two-layer
  5. deep net
  6. eigen{value, vector, function}
  7. generalization
  8. width
  9. adversarial
  10. generative
  11. spike
  12. depth
  13. mean field
  14. spike
  15. kernel
  16. sparsity
  17. generalization
  18. loss landscape
  19. two-layer
  20. KRR
  21. kernel
  22. Gaussian data
  23. empirical
  24. generative
  25. replica
  26. thermo-dynamic limit
  27. gradient descent
  28. MNIST
  29. scaling
  30. gradient descent
  31. generalization
  32. eigen-{value, vector, function}
  33. mean field
  34. inverse temperature
  35. deep net
  36. replica
  37. {under, over}-parameterized
  38. KRR
  39. thermo-dynamic limit
  40. {under, over}-parameterized.
  41. NTK
  42. NTK
  43. spike
  44. thermo-dynamic limit
  45. NTK
  46. numerics
  47. numerics
  48. deep net
  49. replica
  50. loss landscape
  51. random (and/or) noise
  52. width
  53. eigen{value, vector, function}
  54. Hessian
  55. sparsity
  56. How much time do I/we have?
  57. inverse temperature
  58. {under, over}-parameterized.
  59. COVID
  60. random (and/or) noise
  61. empirical
  62. random (and/or) noise
  63. depth
  64. scaling
  65. COVID
  66. loss landscape
  67. gradient descent
  68. MNIST
  69. How much time do I/we have?
  70. Gaussian data
  71. How much time do I/we have?
  72. Hessian
  73. width
  74. Hessian
  75. COVID
  76. Gaussian data
  77. empirical
  78. sparsity
  79. mean field
  80. inverse temperature
  81. adversarial
  82. adversarial
  83. generative
  84. numerics
  85. kernel
  86. depth
  87. scaling