BEGIN:VCALENDAR
VERSION:2.0
PRODID:researchseminars.org
CALSCALE:GREGORIAN
X-WR-CALNAME:researchseminars.org
BEGIN:VEVENT
SUMMARY:Alexander Holroyd (University of Bristol)
DTSTART:20201008T180000Z
DTEND:20201008T190000Z
DTSTAMP:20260404T110644Z
UID:probabilitymachinelearning/1
DESCRIPTION:Title: <a href="https://stable.researchseminars.org/talk/proba
 bilitymachinelearning/1/">Local constraint solving - how to color without 
 looking (much)</a>\nby Alexander Holroyd (University of Bristol) as part o
 f Probability and Data Science Colloquium\n\n\nAbstract\nHow can individua
 ls cooperate to satisfy local constraints without a central authority? Exa
 mples might include autonomous drones navigating in a swarm\, or universit
 y departments scheduling their seminars.\n\nIndividuals can make random ch
 oices and communicate with each other\, but all must follow the same proce
 dure.\n\n \n\nHow small can we make the "coding radius" - the distance to 
 which an individual must communicate? In the setting of the integer line Z
 \, there is a surprising universal answer that applies to every non-trivia
 l constraint problem. In d-dimensional Euclidean space\, answers are avail
 able for the key case of proper colouring\; it turns out that there is a h
 uge difference between 3 and 4 colors. Finally\, I'll mention how changing
  the question slightly has led to the discovery of an amazing mathematical
  object that seemingly has no right to exist.\n
LOCATION:https://stable.researchseminars.org/talk/probabilitymachinelearni
 ng/1/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Mauro Maggioni (Johns Hopkins University)
DTSTART:20201022T180000Z
DTEND:20201022T190000Z
DTSTAMP:20260404T110644Z
UID:probabilitymachinelearning/2
DESCRIPTION:Title: <a href="https://stable.researchseminars.org/talk/proba
 bilitymachinelearning/2/">Learning Interaction laws in particle- and agent
 -based systems</a>\nby Mauro Maggioni (Johns Hopkins University) as part o
 f Probability and Data Science Colloquium\n\nAbstract: TBA\n
LOCATION:https://stable.researchseminars.org/talk/probabilitymachinelearni
 ng/2/
END:VEVENT
BEGIN:VEVENT
SUMMARY:James Norris (Unversity of Cambridge)
DTSTART:20201105T190000Z
DTEND:20201105T200000Z
DTSTAMP:20260404T110644Z
UID:probabilitymachinelearning/3
DESCRIPTION:Title: <a href="https://stable.researchseminars.org/talk/proba
 bilitymachinelearning/3/">The master field on the sphere</a>\nby James Nor
 ris (Unversity of Cambridge) as part of Probability and Data Science Collo
 quium\n\nAbstract: TBA\n
LOCATION:https://stable.researchseminars.org/talk/probabilitymachinelearni
 ng/3/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Jian Ding (UPENN)
DTSTART:20201203T190000Z
DTEND:20201203T200000Z
DTSTAMP:20260404T110644Z
UID:probabilitymachinelearning/4
DESCRIPTION:Title: <a href="https://stable.researchseminars.org/talk/proba
 bilitymachinelearning/4/">A review for random field Ising model</a>\nby Ji
 an Ding (UPENN) as part of Probability and Data Science Colloquium\n\nAbst
 ract: TBA\n
LOCATION:https://stable.researchseminars.org/talk/probabilitymachinelearni
 ng/4/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Nike Sun (MIT)
DTSTART:20210128T183000Z
DTEND:20210128T193000Z
DTSTAMP:20260404T110644Z
UID:probabilitymachinelearning/5
DESCRIPTION:Title: <a href="https://stable.researchseminars.org/talk/proba
 bilitymachinelearning/5/">Phase Transitions In Random Constraint Satisfact
 ion Problems</a>\nby Nike Sun (MIT) as part of Probability and Data Scienc
 e Colloquium\n\nAbstract: TBA\n
LOCATION:https://stable.researchseminars.org/talk/probabilitymachinelearni
 ng/5/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Vadim Gorin (University of Wisconsin)
DTSTART:20210211T190000Z
DTEND:20210211T200000Z
DTSTAMP:20260404T110644Z
UID:probabilitymachinelearning/6
DESCRIPTION:Title: <a href="https://stable.researchseminars.org/talk/proba
 bilitymachinelearning/6/">Infinite beta random matrix theory</a>\nby Vadim
  Gorin (University of Wisconsin) as part of Probability and Data Science C
 olloquium\n\nAbstract: TBA\n
LOCATION:https://stable.researchseminars.org/talk/probabilitymachinelearni
 ng/6/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Xiaohui Chen (UIUC)
DTSTART:20210304T190000Z
DTEND:20210304T200000Z
DTSTAMP:20260404T110644Z
UID:probabilitymachinelearning/7
DESCRIPTION:Title: <a href="https://stable.researchseminars.org/talk/proba
 bilitymachinelearning/7/">A diffusion perspective of manifold clustering</
 a>\nby Xiaohui Chen (UIUC) as part of Probability and Data Science Colloqu
 ium\n\nAbstract: TBA\n
LOCATION:https://stable.researchseminars.org/talk/probabilitymachinelearni
 ng/7/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Yihong Wu (Yale University)
DTSTART:20200408T180000Z
DTEND:20200408T190000Z
DTSTAMP:20260404T110644Z
UID:probabilitymachinelearning/8
DESCRIPTION:Title: <a href="https://stable.researchseminars.org/talk/proba
 bilitymachinelearning/8/">Recent results in planted assignment problems</a
 >\nby Yihong Wu (Yale University) as part of Probability and Data Science 
 Colloquium\n\nAbstract: TBA\n
LOCATION:https://stable.researchseminars.org/talk/probabilitymachinelearni
 ng/8/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Yihong Wu (Yale University)
DTSTART:20210408T180000Z
DTEND:20210408T190000Z
DTSTAMP:20260404T110644Z
UID:probabilitymachinelearning/9
DESCRIPTION:Title: <a href="https://stable.researchseminars.org/talk/proba
 bilitymachinelearning/9/">Recent results in planted assignment problems</a
 >\nby Yihong Wu (Yale University) as part of Probability and Data Science 
 Colloquium\n\nAbstract: TBA\n
LOCATION:https://stable.researchseminars.org/talk/probabilitymachinelearni
 ng/9/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Russ Lyons (Indiana University)
DTSTART:20210422T180000Z
DTEND:20210422T190000Z
DTSTAMP:20260404T110644Z
UID:probabilitymachinelearning/10
DESCRIPTION:Title: <a href="https://stable.researchseminars.org/talk/proba
 bilitymachinelearning/10/">Lower Bounds for Reconstruction from the Deleti
 on Channel</a>\nby Russ Lyons (Indiana University) as part of Probability 
 and Data Science Colloquium\n\nAbstract: TBA\n
LOCATION:https://stable.researchseminars.org/talk/probabilitymachinelearni
 ng/10/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Ivan Corwin (Columbia University)
DTSTART:20210427T200000Z
DTEND:20210427T210000Z
DTSTAMP:20260404T110644Z
UID:probabilitymachinelearning/11
DESCRIPTION:Title: <a href="https://stable.researchseminars.org/talk/proba
 bilitymachinelearning/11/">Stationary measure for the open KPZ equation</a
 >\nby Ivan Corwin (Columbia University) as part of Probability and Data Sc
 ience Colloquium\n\nAbstract: TBA\n
LOCATION:https://stable.researchseminars.org/talk/probabilitymachinelearni
 ng/11/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Wei-Kuo Chen (University of Minnesota)
DTSTART:20210429T180000Z
DTEND:20210429T190000Z
DTSTAMP:20260404T110644Z
UID:probabilitymachinelearning/12
DESCRIPTION:Title: <a href="https://stable.researchseminars.org/talk/proba
 bilitymachinelearning/12/">Grothendeick L_p problem for Guaussian matrices
 </a>\nby Wei-Kuo Chen (University of Minnesota) as part of Probability and
  Data Science Colloquium\n\nAbstract: TBA\n
LOCATION:https://stable.researchseminars.org/talk/probabilitymachinelearni
 ng/12/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Jian Song
DTSTART:20220428T181500Z
DTEND:20220428T191500Z
DTSTAMP:20260404T110644Z
UID:probabilitymachinelearning/13
DESCRIPTION:Title: <a href="https://stable.researchseminars.org/talk/proba
 bilitymachinelearning/13/">A New Correlation Inequality for Ising models w
 ith external fields</a>\nby Jian Song as part of Probability and Data Scie
 nce Colloquium\n\n\nAbstract\nJoin Zoom Meeting\nhttps://zoom.us/j/3106002
 217?pwd=OVd2L0g5c0NMM3o4MjRGRWNsNVFJdz09\n\nMeeting ID: 310 600 2217\nPass
 code: DG3fAA\n
LOCATION:https://stable.researchseminars.org/talk/probabilitymachinelearni
 ng/13/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Perla Sousi (University of Cambridge)
DTSTART:20221111T143000Z
DTEND:20221111T153000Z
DTSTAMP:20260404T110644Z
UID:probabilitymachinelearning/14
DESCRIPTION:Title: <a href="https://stable.researchseminars.org/talk/proba
 bilitymachinelearning/14/">Picking a spanning tree at random</a>\nby Perla
  Sousi (University of Cambridge) as part of Probability and Data Science C
 olloquium\n\n\nAbstract\nSpanning trees in a connected graph are basic obj
 ects of great interest to mathematicians and computer scientists. What doe
 s a typical spanning tree look like? How can we pick one uniformly\, as us
 ually they are too numerous to list? A connection of spanning trees to ele
 ctrical networks was found by Kirchhoff in 1847\, and elegant sampling alg
 orithms using random walks were found in the 1990’s by Aldous\, Broder a
 nd Wilson. These connections have yielded many insights on the geometry of
  uniform spanning trees. In my talk I will present some recent work with T
 om Hutchcroft on the geometry of the uniform spanning tree in Z^4\, which 
 can be thought of as the "uniform measure" on trees of Z^4.\n
LOCATION:https://stable.researchseminars.org/talk/probabilitymachinelearni
 ng/14/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Sanjay Ramassamy (Université Paris-Saclay)
DTSTART:20230421T133000Z
DTEND:20230421T143000Z
DTSTAMP:20260404T110644Z
UID:probabilitymachinelearning/15
DESCRIPTION:Title: <a href="https://stable.researchseminars.org/talk/proba
 bilitymachinelearning/15/">Last-passage percolation on the complete graph 
 and particle systems</a>\nby Sanjay Ramassamy (Université Paris-Saclay) a
 s part of Probability and Data Science Colloquium\n\n\nAbstract\nI will re
 view recent and ongoing work on last-passage percolation on the complete d
 irected acyclic graph over the integers. The edges of this graph carry iid
  weights\, which may be positive or negative. We are interested in paths t
 hat maximize the sum of the weights.\n\nI will first discuss the special c
 ase when the weights take only values +1 or minus infinity. This is called
  the Barak-Erdös graph\, it is a directed acyclic version of the Erdös-R
 ényi graph. In that case\, the time constant (namely the growth rate of t
 he weight of the heaviest path) is an analytic function of the probability
  p that the edge weight takes value +1. The original proof relied on a cou
 pling with a particle system called the infinite bin model.\n\nI will then
  mention recent results on more general edge-weight distributions for last
 -passage percolation\, as well as properties of particle systems generaliz
 ing the infinite bin model.\n\nThe talk is based on several joint works wi
 th Sergey Foss (Sobolev Institute and Heriot-Watt University)\, Takis Kons
 tantopoulos (University of Liverpool)\, Bastien Mallein (Université Sorbo
 nne Paris Nord and École normale supérieure)\, Arvind Singh (CNRS and Un
 iversité Paris-Saclay) and Benjamin Terlat (Université Paris-Saclay).\n
LOCATION:https://stable.researchseminars.org/talk/probabilitymachinelearni
 ng/15/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Beatrice de Tiliere (University Paris Dauphine)
DTSTART:20230505T133000Z
DTEND:20230505T143000Z
DTSTAMP:20260404T110644Z
UID:probabilitymachinelearning/16
DESCRIPTION:Title: <a href="https://stable.researchseminars.org/talk/proba
 bilitymachinelearning/16/">The dimer model on minimal graphs: the elliptic
  case and beyond.</a>\nby Beatrice de Tiliere (University Paris Dauphine) 
 as part of Probability and Data Science Colloquium\n\nAbstract: TBA\n
LOCATION:https://stable.researchseminars.org/talk/probabilitymachinelearni
 ng/16/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Antonio Auffinger
DTSTART:20230922T133000Z
DTEND:20230922T143000Z
DTSTAMP:20260404T110644Z
UID:probabilitymachinelearning/17
DESCRIPTION:Title: <a href="https://stable.researchseminars.org/talk/proba
 bilitymachinelearning/17/">Dimension Reduction Methods for Data Visualizat
 ion</a>\nby Antonio Auffinger as part of Probability and Data Science Coll
 oquium\n\nAbstract: TBA\n
LOCATION:https://stable.researchseminars.org/talk/probabilitymachinelearni
 ng/17/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Xin Sun (University of Pennsylvania)
DTSTART:20231103T133000Z
DTEND:20231103T143000Z
DTSTAMP:20260404T110644Z
UID:probabilitymachinelearning/18
DESCRIPTION:Title: <a href="https://stable.researchseminars.org/talk/proba
 bilitymachinelearning/18/">Two dimensional percolation and Liouville quant
 um gravity</a>\nby Xin Sun (University of Pennsylvania) as part of Probabi
 lity and Data Science Colloquium\n\nAbstract: TBA\n
LOCATION:https://stable.researchseminars.org/talk/probabilitymachinelearni
 ng/18/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Philippe Sosoe (Cornell University)
DTSTART:20231110T143000Z
DTEND:20231110T153000Z
DTSTAMP:20260404T110644Z
UID:probabilitymachinelearning/19
DESCRIPTION:Title: <a href="https://stable.researchseminars.org/talk/proba
 bilitymachinelearning/19/">KPZ estimates for ASEP and the stochastic six v
 ertex model</a>\nby Philippe Sosoe (Cornell University) as part of Probabi
 lity and Data Science Colloquium\n\nAbstract: TBA\n
LOCATION:https://stable.researchseminars.org/talk/probabilitymachinelearni
 ng/19/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Wei-Kuo Chen (University of Minnesota)
DTSTART:20231208T143000Z
DTEND:20231208T153000Z
DTSTAMP:20260404T110644Z
UID:probabilitymachinelearning/20
DESCRIPTION:Title: <a href="https://stable.researchseminars.org/talk/proba
 bilitymachinelearning/20/">A Gaussian convexity for logarithmic moment gen
 erating function</a>\nby Wei-Kuo Chen (University of Minnesota) as part of
  Probability and Data Science Colloquium\n\nAbstract: TBA\n
LOCATION:https://stable.researchseminars.org/talk/probabilitymachinelearni
 ng/20/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Katy Craig (UCSB)
DTSTART:20231214T191500Z
DTEND:20231214T201500Z
DTSTAMP:20260404T110644Z
UID:probabilitymachinelearning/21
DESCRIPTION:Title: <a href="https://stable.researchseminars.org/talk/proba
 bilitymachinelearning/21/">Nonlocal approximations of optimal transport an
 d diffusion</a>\nby Katy Craig (UCSB) as part of Probability and Data Scie
 nce Colloquium\n\nAbstract: TBA\n
LOCATION:https://stable.researchseminars.org/talk/probabilitymachinelearni
 ng/21/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Hugo Duminil-Copin (IHES)
DTSTART:20240412T133000Z
DTEND:20240412T143000Z
DTSTAMP:20260404T110644Z
UID:probabilitymachinelearning/22
DESCRIPTION:Title: <a href="https://stable.researchseminars.org/talk/proba
 bilitymachinelearning/22/">Critical phenomena through the lens of the Isin
 g model</a>\nby Hugo Duminil-Copin (IHES) as part of Probability and Data 
 Science Colloquium\n\nAbstract: TBA\n
LOCATION:https://stable.researchseminars.org/talk/probabilitymachinelearni
 ng/22/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Gordon Slade (University of British Columbia)
DTSTART:20240425T181500Z
DTEND:20240425T191500Z
DTSTAMP:20260404T110644Z
UID:probabilitymachinelearning/23
DESCRIPTION:Title: <a href="https://stable.researchseminars.org/talk/proba
 bilitymachinelearning/23/">Convergence of the lace expansion</a>\nby Gordo
 n Slade (University of British Columbia) as part of Probability and Data S
 cience Colloquium\n\nAbstract: TBA\n
LOCATION:https://stable.researchseminars.org/talk/probabilitymachinelearni
 ng/23/
END:VEVENT
END:VCALENDAR