Swati Gupta
@swati1729
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Associate Professor, MIT Sloan School of Management | Optimization, AI, Algorithmic Fairness | Artist.
Cambridge, MA
Joined July 2011
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Pinned Tweet
Honored to (finally) receive the NSF CAREER Award on “Advancing Equity in Selection Problems Through Bias-Aware Optimization”!! This couldn’t have happened without fantastic students, collaborators, & mentors! It indeed takes a village to write a CAREER!
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I'm looking for motivated and enthusiastic graduate students with a strong math background, to join my research group. Please apply to the MIT ORC PhD program for full consideration!
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Students interested in doing a PhD in my group: pls don’t spam me. Invest time in learning, reading papers that interest you, engage by being curious - “was this the best way to solve a problem?”, if you have a new idea write a paper about it, attend conferences if possible.(1/2)
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I'm looking for post-docs to work on exciting problems at the intersection of optimization, machine learning and algorithmic fairness! Please apply if interested:
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I just went through an early pregnancy miscarriage earlier this week. Apparently this is very common (wp 30%?), I had no idea. I’m wondering how to jump back into my tenure track life, and if/when I should. The guilt is real, both ways. Too many clocks ticking.
#baddream
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Congrats to my 1st Ph.D. student Hassan Mortagy for successfully defending! Thrilled to see him grow as an independent researcher & see all of his hard work culminate into this thesis w/ 2 NeurIPS, 1 MAPR, + 3 journal papers underway. Excited to see where his career takes him!
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Recruiting Alert🎯! Looking for an enthusiastic post-doc with a strong background in optimization/ML to spearhead cutting-edge research in algorithmic fairness with me, starting in Fall 2023
@Sloan
/MIT.
Apply here: by March 10 for full review.
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Super thrilled to be a part of the newly-awarded NSF AI Institute
@ai4opt
and to be co-leading Ethical AI thrust with
@justinbbiddle
, under the amazing leadership of
@PVanHentenryck
and a dynamic team across Georgia Tech, UC Berkeley, USC, Clark Atlanta, Spelman, UT Arlington.
.
@NSF
has awarded a team led by
@PVanHentenryck
a 5-year, $20M grant to study AI & mathematical optimization and how these fields together can achieve research breakthroughs in automated decision making that are unattainable separately. (1/8)
Learn more: .
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Never imagined my article about research on bias/fairness would get a reaction from 5th graders!
#fairness
#bias
#loveacademia
#wecandothis
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Take all that experience & apply to our PhD programs! Things that help your application - good grades, relevant courses, good letters, papers if possible, + your research statement. If you want your app to reach me, just mention my name in it! (2/2)
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Kickstarting the Data Science and Optimization workshop at the Fields Institute!
@FieldsInstitute
@lyeskhalil
@spokutta
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Merve Bodur’s next on building network diagrams to compute the Pareto frontier faster for multi-objective optimization!
@FieldsInstitute
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So much fun teaching algorithms prediction and subset (bias) to enthusiastic second graders at Midvale Elementary School!
#atlantasciencefestival
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Overwhelmed at receiving very thoughtful handwritten letters from students at
@PeeplesFCBOE
, following my lecture on fairness/bias using eg like distributing gifts (Santa Claus problem) to placing emergency rooms (facility location).
#fairscientists
in the making!
#joysofacademia
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Talking about bias/fairness to super enthusiastic fifth graders is one of the highlights of being in academia! I am amazed at how many fairness solutions these kids came up with!
#bias
#fairness
@POGFayette
@PeeplesFCBOE
@AprilDeGennaro
@GeorgiaTechISyE
@gatechengineers
@mlatgt
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Malvika Jayaram, Executive Director of Digital Asia Hub - "What kind of person does technology assume I am and what kind of life does that allow me?" Put dignity (and basic rights) back into the digital world.
#debatingethics
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Excited to start at GT!
Swati Gupta is ISyE's newest assistant professor! She received her Ph.D. from MIT's
@ORCenter
and completed two fellowships at
@SimonsInstitute
. Her research generally focuses on combinatorial, convex, and robust optimization: .
#amazingfaculty
@swati1729
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Proud of my Ph.D. student Jad Salem's successful thesis defense on "Online Learning w/ a view twd Fairness"! Interdisciplinary & impactful work, w/ pubs in WINE, FAccT, Management Science, UC Davis Law Rev., major rev in OR, + more! To tenure track
@NavalAcademy
's Math Dept next!
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Summer school at IPCO 2021 starting today at 9:30 am ET with amazing speakers including Moon Duchin (Tufts University),
Simge Küçükyavuz (Northwestern University) and László Végh (London School of Economics)! So excited!
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Check out our new work on mathematically quantifying gerrymandering and non-responsiveness of the enacted 2021 Congressional districting plan in Georgia: w/ our fantastic team
@jcmattingly
@DataRandAlgs
@Zhanzhan219
Cyrus Hettle and Greg Herschlag. [1/2]
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I was just on a panel to talk about networking and building a brand as a researcher, and one of the students asked about “cultural differences” or barriers when interacting with people. Making a list of some anecdotes that I experienced and my insights, would love to know yours!
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The power of online conferences, just amazing!!
What an amazing community! 1100 people registered for
#MIP2020
, 561 are live now. Wow, just wow!😮
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Gave my first online lecture this past Thursday on bluejeans (auto-record on), connecting iPad and laptop both to sign in to the meeting. Laptop had my video, iPad was screen-shared so I could write on it directly. Some students found it better than classroom!
#wecandothis
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New position! Come do exciting work at the intersection of discrete optimization and quantum computing in my group. Apply by August 10th. Position starts as early as September 1st.
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My students Hassan Mortagy and Jai Mooondra just received honorable mention for the best poster award at MIP 2022, for our work on Reusing Combinatorial Structure for Faster Iterative Projections over Submodular Base Polytopes!
#proudadvisor
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Congrats to my Ph.D. student Reuben Tate for successfully defending his thesis on "Classical Optimization to Improve Variational Quantum Algorithms", which includes one of the first ways of warm-starting QAOA. He'll be a postdoc
@LosAlamosNatLab
, excited to see his journey fwd!
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Any model is wrong, some are useful. - Alex Shapiro, at Shabbir Ahmed Memorial Workshop.
@Shabbir0Ahmed
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Paul Grigas - starting the last day of talks at conference on Optimization
@FieldsInstitute
on his framework on smart predict then optimize with
@Adam235711
— minimize errors on decisions, rather than predictions.
@paulgrigas
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Super excited to attend my first
@CPDPconferences
and talk about profiling, micro-targeting and right to reasonable algorithmic inferences on a panel w/ brilliant minds
@willscrimshaw
@benwagne_r
@RaviNa1k
@SandraWachter5
@F_Kaltheuner
@CPDPconferences
!
@mlatgt
@GeorgiaTechISyE
Super excited to speak
@CPDPconferences
on Profiling, microtargeting and a right to reasonable algorithmic inferences Friday 1.2. @ 10.30 w/ brilliant minds
@willscrimshaw
@benwagne_r
@F_Kaltheuner
@RaviNa1k
@swati1729
@oiioxford
@turinginst
Cya all soon!
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Up next, Alex Kazachkov on sparse cuts for QCQPs, with a lot of sparse and dense dinosaurs!
@FieldsInstitute
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Going to an elementary school and talking to students about bias and fairness in algorithms was an amazing experience! Highly recommended.
#tbt
to when
#MLatGT
and
@GeorgiaTechISyE
assistant professor, Swati Gupta, taught students from Midvale Elementary School about bias and fairness in
#AI
and machine learning. She also helped them learn about algorithms!
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INFORMS 2019 @ Seattle. Chairing the following sessions featuring talks by Xuan Zhang,
@ValerieThomasB
,
@gerdusbenade
, Sina Aghaei, Thodoris Lykouris,
@FlavioCalmon
, Yang Liu,
@radcummings
, Heyuan Liu,
@RobertH32030431
, Jelena Diakonikolas and Fatma Kilinc-Karzan!
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There is bias in evaluations of candidates - often dependent on socio-economic status, gender, race and nationality. Can a written test be useful? Existing stereotypes and perceived difficulty can impact test performance. How to break the cycle and improve quality of hires?
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Blending gradient and conditional gradient steps -
@spokutta
at the Fields Institute.
@FieldsInstitute
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Continuing the set of exciting talks this morning is Liyan Xie of GT on Robust Hypothesis Testing!
@FieldsInstitute
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Imagine a priest in the confession booth, listening to all 2 billion confessions, going with you and hearing conversations, and then predicting what confessions you might make and monetizing these. Powerful analogy by Tristan Harris for social media platforms.
#DebatingEthics
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Our paper on "Individual Fairness in Hindsight" got accepted at EC 2019: It is important for learning methods to be cautious during exploration to ensure fairness of decisions in hindsight.
@vjskamble
Individual fairness (IF) advocates similar treatment of similar individuals, but does not capture time at which decision is made. We propose fairness-in-hindsight (FH): decisions are fair if they are more conducive over time: joint work w/ V. Kamble [1/4]
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We were just asked to distinguish our work with a paper X which is not on ssrn, not arxiv, not timestamped, only available as author-blind pdf on the student’s website - and seems to be effecting acceptance/rejection for our submission. What do I make of it?
#cannotbelieveit
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How to find a tree in an electricity distribution network to send power to various houses so that the power loss is minimized? Check out our new paper for the first provable approximation guarantees! Joint work w/ A. Khodabakhsh, H. Mortagy, E. Nikolova:
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A must selfie after a successful event: the first of many digital data flows masterclass: emerging technologies!
@futureofprivacy
@VUBrussel
@JulesPolonetsky
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Marta Reoptimization - optimal use of the overall system: subway, trains, buses with trip chaining, along with an equity analysis of the service provided!
#amazingundergrads
@PVanHentenryck
@GeorgiaTechISyE
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Day two - Rodrigo starts with training binaries neural networks using MIP and CP!
@FieldsInstitute
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Come attend an exciting set of talks on fairness in applied operations!
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@mlatgt
@GeorgiaTechISyE
@gatechengineers
@GTinDC
@GTRI
Thank you! We are very excited about the project and exploring possibilities with quantum computing as well as opportunities for optimization. Our team is led by GTRI, and includes ORNL and NIST as well!
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Excellent beginning of the day with a talk on Blended Conditional Gradients by
@spokutta
+ one of the most creative explanations of what a polytope is - "When you cut the potato skin with a knife, you get a polytope."
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Discussion about how algorithms can be biased, and what we can do towards finding “good” solutions.
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Vision, challenges and promising directions for the field of ISE!
#awesomelocation
#facultyretreat
#isye
@GeorgiaTechISyE
@alerera
@spokutta
@radcummings
@PVanHentenryck
@edwinromeijn
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On way to DC - excited to speak at my first Global Privacy Summit, thanks to the amazing folks at the
@futureofprivacy
! Stay tuned! 🙂
#IAPP
#GPS19
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I’m in love with “Math with Bad Drawings”.
#mustread
I wish I had written something like this! Submodularity with Bad Drawings? Maybe
@benorlin
can help!
Today I got my first copy of my book.
Speechless. Grateful. Wondering what the 2013 version of me (who almost decided not to illustrate his blog) would think.
I'm hardly unbiased, but if you're at all interested, preorder it. You won't be disappointed!
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Very cool result - number of linear regions in deep nets might relate to network accuracy!
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Kazuo Murota - on brief history of discrete convex analysis - applications of submodularity in engineering date back at least to 1975!
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President's Post-Doctoral Fellow Positions at Georgia Tech ISyE - do consider applying!
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Next lightning talk presenter is Hassan Mortagy, on Electrical Flows over Spanning Trees,
@FieldsInstitute
@isye_phd
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Suvrit Sra
@optiML
on a tight analysis of memorization capacity of ReLU networks!
@FieldsInstitute
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Congratulations Sam Zhou for making it as a finalist to the undergraduate OR competition for our joint work on “Limited Kelley’s Method Converges for Composite Convex and Submodular Objectives”, also selected as a spotlight paper at NIPS2018.
@madeleineudell
The finalists of the
@INFORMS
Undergraduate Operations Research Prize will present in 2 sessions at
#informs2018
. It was a pleasure to see the wealth and depth of the work submitted this year!
#orms
PS:
@swati1729
's talk is on behalf of Song (Sam) Zhou from Tsinghua University
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Excited about our new paper with Yuri Faenza and Xuan Zhang on "Discovering Opportunities in New York City's Discovery Program". Check it out here: [1/n]
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Stay tuned for our tutorial on Bias and Fairness in AI/ML at the
@icdppc2018
side event next week!
The Hub is proud to co-organise with
@futureofprivacy
@JulesPolonetsky
the 1st event of the Digital Data Flows Master Class Series on "Emerging Technologies" on 25.10 14:30 as
@icdppc2018
side event! Join us (participation remotely possible) and register !
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Jake Abernethy - starting Wednesday’s set of talks with building algorithms by playing games!
@FieldsInstitute
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@mohitsinghr
truly bridging discrete and continuous optimization with sticky brownian rounding and algorithms for max-cut
@FieldsInstitute
Solve the max-cut SDP, walk in Brownian motion with W as the covariance matrix, and fix the faces of n-dim hypercube you hit during this.
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My talk about algorithmic inferences and profiling at
@CPDPconferences
is now live, … as well as the talks of my fantastic co-speakers
@SandraWachter5
@F_Kaltheuner
@benwagne_r
@willscrimshaw
@RaviNa1k
@privacyint
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Constrained optimization (in presence of behavioral bias) is not always suboptimal comp. to unconstrained opt. Think of a class where all assignments are due at end of sem (disaster) v/s spread out slowly over the semester imposing more structure - Jon Kleinberg, at
#FAT2019
.
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Amplify voices of 10 women and keep it going!
@math_rachel
@radcummings
@jamiemorgenste1
@judyfhoffman
@jennwvaughan
@mariadearteaga
@AOC
@achould
@profelisacelis
@lauraalbertphd
Amplify voices of 10 women and keep it going!
@elloumi_sourour
@RuthMisener
@SoniaVanier
@CerulliMartina
@sdp_angie
@ShudianZhao
@georgiansp94
@ERodriguezHeck
@CarlaMichini
@swati1729
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We are organizing a focused program on Data Science and Optimization at the Fields Institute in Toronto. Stay tuned for the program!
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When I came to the US, people would greet/ask “how are you?”, and I would start explaining how I was, and they would impatiently walk faster. I realized only later that it was a greeting, where only one word answer was required in general.
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Shinji Mizuno opens the day of talks at the conference on optimization at Fields Institute with monotone paths on polyhedrons
#simplex
@FieldsInstitute
check out the full program here:
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Looking for concrete applications of Max-Cut outside of statistical physics and VLSI design, suggestions?
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In what ways, can a Ph.D. student be protected from harassment through their doctoral advisors? I'm contacted by a student X whose advisor has been verbally harassing him and now has asked him to officially resign (o/w he will "fire" X, make him pay tuition w/notice of 1 week).
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I still find it a bit awkward to break into a circle of people I don’t know at a new conference, introduce myself and go for lunch with them without feeling like I’m imposing. But it’s important to do this, especially when you don’t know anyone, so that next time you do know ppl.
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Cristobal Guzman: in general, it is not possible to exponentially reduce oracle complexity by using parallelization when number of oracle queries is of the order poly(dimension)
@FieldsInstitute
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Yao Xie of GT opened today’s workshop with bridging statistical hypothesis testing with robust optimization!
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One interviewer during job search told me - you’ll get a lot of offers since you are a woman, 🙄 I immediately retorted, well that explains why you don’t have women faculty in your department. Never got a call from that school!
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Sasha Nikolov - on maximizing determinants under combinatorial constraints for D-optimal design.
@FieldsInstitute
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Individual fairness (IF) advocates similar treatment of similar individuals, but does not capture time at which decision is made. We propose fairness-in-hindsight (FH): decisions are fair if they are more conducive over time: joint work w/ V. Kamble [1/4]
1
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Niao He on sample complexity of biased stochastic approximation algorithm compared to sample average approximation
@FieldsInstitute
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And the last but not the least finalist: UPS logistics team, nothing at GT can be complete without a nod to UPS - there was everything from optimization, to nifty distance matrices, to cost savings!
@spokutta
@GeorgiaTechISyE
#amazingundergrads
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Coffee party with the amazing session co-organizer, speakers and collaborators!
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Up next, we have Chris Beck of UToronto speaking about beam search degradation:
@FieldsInstitute
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Don’t let the fact that people look very different from you, and perhaps more like each other, get in the way of you getting to know them. You’ll be surprised at how similar you are to them!
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Selin Ahipasaoglu - on semiparametric choice models using an SDP formulation!
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Another amazing undergraduate student project, with Emory Clinic, reducing waiting times, waiting room utilization, and better schedules for doctors !
#somuchMIP
#Gurobi
@GeorgiaTechISyE
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Right after lunch - we have Oliver Thomas talking about Transparency in Fairness!
@FieldsInstitute
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Our new result with
@madeleineudell
+ zhou: shows convergence rate for novel ltd memory variant of Bach's simpicial method for minimizing convex + submodular objectives --> solving Bach's conjecture (2015). Dual is ltd memory FCFW --> provably small subproblems, better run time!
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Courtney Paquette
@FieldsInstitute
: to do backtracking line search with stochastic gradients, you need more accuracy on function values than accuracy on stochastic gradients.
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Excellent group discussion on how the trolley problem should be solved to warm up fairness talks - and a very well attended session on the last day of INFORMS!
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Are you introducing more bias by tackling one kind of bias? - Tanya, Tilburg University,
@fatconference
#FAT2019
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Selfies to get life insurance - to predict gender, age, race, location and more - and price insurance accordingly!
#supershady
#ethicalissues
#unfair
#privacy
😱😱.. how will they even get around different types of errors on different groups with this data?
GS pushing an Orwellian nightmare here. - 'individual risk analysis' ... take a selfie to get life insurance.
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Valerie Thomas
@GeorgiaTechISyE
Keynote at workshop for mechanism design for social good at FCRC - Mechanisms to Reduce Greenhouse Gas Emissions
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