Upcoming talks/panels:
- Dagstuhl, March 2025 (Scheduling)
- International Mixed Integer Programming Workshop, 2024
- INFORMS 2024
Past talks:
- 25th ISMP 2024
- Oracle Retail Data Science, March 2024
- CMOR, Rice University (March 2024)
- NYU Stern (Feb 2024)
- Distinguished Lecture, 26th Workshop on Combinatorial Optimization, Aussois (January 2024)
- Department Seminar, Operations Research and Financial Engineering, Princeton University (November 2023)
- Responsible AI Workshop, at Columbia Business School, (September 2023)
- MSRI Introductory Workshop: Algorithms, Fairness, and Equity (August 2023)
- Gene Golub SIAM Summer School (apply here) (August 2023)
- The Jon-Shmuel Halfway to Twelfty Workshop (July 2023)
- ICERM semester long program at Brown University: Discrete Optimization: Mathematics, Algorithms and Computation, Jan 2023 – May 2023, (organizer for last workshop on Trends in Combinatorial Optimization, and speaking March 2023).
- Combinatorics and Optimization: “Reusing Cuts in Iterative Projections over Submodular Polytopes”
- Panel on “Implications of Data and Algorithms”, Symposium on Social and Ethical Responsible Computing, MIT (April 2023)
- Texas A&M University, January 2023.
- Los Alamos National Lab Grid Science Winter School and Conference, Jan 9 – 13, 2023 (organizer and speaker)
- National Institute of Industrial Engineering (NITIE), Mumbai, India, November 14, 2022.
- UC Berkeley IEOR, Departmental Seminar, October 2022
- Workshop on Quantum Computing and Operations Research, Fields Institute, October 13-14, 2022. (organizing committee)
- INFORMS Annual Meeting, Indianapolis, October 16 – 19, 2022 (students speaking)
- Future of data-Centric AI 2022, August 2022
- Keynote at Lorentz Center’s workshop on “Advanced Optimization for Social Choice”, July 2022
- Panel on Trustworthy AI: a Practical Roadmap for Government, organized by Snorkel AI, April 2022
- DOT Seminar Series, April 2022
- NSF-FET Workshop on Ising Machines, Frontiers in Emerging Technologies within NSF’s CISE (Computer and Information Science and Engineering) Directorate, April 2022
- UBC Sauder School of Business, March 2022
- IISc-MSR Theory Seminar, March 2022 (video available here)
- NSF Tripods-X Workshop on ML & Supply Chain Management, Lehigh University, Dec 2021
- Theory of Computing for Fairness, a Simons Collaboration Project, December 2021
- Georgia Tech Research Institute, November 2021
- IEEE Quantum Week 2021 Workshop, October 2021
- Auctions and Market Design Cluster, INFORMS Annual Meeting, October 2021
- Machine Learning for Industry Forum 2021 (ML4I 2021), Lawrence Livermore National Laboratory, August 2021
- Tapia Center for Excellence and Equity in Education, Rice University, Texas, June 2021.
- “Crossing Disciplines: Studying Fairness, Bias, and Inequality in Management and Decision Sciences Research”, at Harvard Business School, May 2021
- Lehigh University (ISE), April 2021
- Guest Lecture in Wharton University (OIDD 941), April 2021
- Institute of Operations Research and Analytics, National University of Singapore, March 2021
- Electrical Flows over Spanning Trees, Department of ISE, Virginia Tech, March 2021
- Electrical Flows on Spanning Trees, Algorithms and Randomness Center, Georgia Tech, February 2021
- Mathematics of Bias and Fairness, MIT Operations Research Center Seminar on “Policy making in OR”, January 2021
- Mathematics of Bias and Fairness, Amazon Research, January 2021
- Bridging Classical and Quantum Computing with Warm-starts and Coupling Graphs, IBM Research Zurich, November 2020
- Presentations at INFORMS, November 2020:
- Hassan Mortagy – “Walking in the Shadow: A New Perspective on Descent Directions for constrained minimization” (video),
- Cyrus Hettle – “Balanced Districting with Provable Compactness and Contiguity” (video),
- Jad Salem – “Individual Fairness in Pricing” (video),
- Reuben Tate – “Bridging Classical and Quantum Optimization using SDP initialized warm-starts” (video).
- Mathematics of Fairness and Bias, Oracle Research Group, October 2020
- Mathematics of Fairness and Bias, LIONS Seminar, Arizona State University, October 2020
- Fairness and Bias in Tooling, Zillow Group, August 2020
- GT Library’s Symposium on Interaction of Privacy and Autonomy, August 2020.
- OR for Social Good, Canadian Operational Research Society, June Conference, Toronto, (June 8-10), 2020. (cancelled due to COVID)
- Classification Society Meeting, (June 17-20), 2020. (cancelled due to COVID)
- Jon-Shmuel Halfway to Twelfty, Paris, (July 7-10), 2020. (postponed due to COVID)
- IOS Conference 2020 (postponed
March 15-17) - CDC Workshop on AI4PH (AI for Public Health), (postponed,
March 26-27, 2020). - ITA Workshop, San Diego, February 2-7, 2020.
- Workshop on Data Science and Optimization and Workshop on Optimization, Fields Institute, Toronto, November 18-28, 2019.
- 11th OPT workshop on Optimization in ML, University of British Columbia, December 13, 2019.
- New Advances in Interdisciplinary Research: Bridging Operations Research and PES, IEEE Power & Electrical Society General Meeting, 4-8 August 2019
- Mixed Integer Programming Workshop (MIP), July 15 – 18, 2019 MIT Sloan School of Management, Cambridge. (slides)
- Simons Institute Recent Developments in Research on Fairness Workshop, Simons Institute, July 8-10 2019.
- Simons Institute Real-Time Decision Making Reunion Workshop, June 2-5, 2019.
- Global Privacy Summit, Washington DC, 2-3 May, 2019.
- AMS Sectional Meeting on Sparsity, Randomness and Optimization, University of Hawaii at Manoa, Honolulu, March 22-24, 2019.
- Prediction, Algorithms and Subsets, Grade 2 Students at Middlevale Elementary School, Dekalb County, March 7, 2019.
- Individual Fairness in Hindsight, ITA Workshop, UC San Diego, February 14/15, 2019.
- Convex Minimization over Submodular Polytopes, CORE Research Seminar, Université catholique de Louvain, February 4, 2019.
- Panel on Policing, Microtargeting and the Right to Reasonable Algorithmic Inferences, at the CPDP February 1, 2019. (slides)
- FOCUS Scholars 2019 (Georgia Tech) on Algorithmic Fairness, January 18, 2019.
- Simons Institute Bridging Discrete and Continuous Optimization Reunion Workshop, on Limited Memory Kelley’s Method, December 12th, 2018.
- NeurIPS 2018:
- Limited Memory Kelley’s Method Converges Linearly for Composite Objectives (spotlight), 3:30-5:00 PM, November 6th (presenter: Madeleine Udell).
- Temporal Aspects of Individual Fairness, Workshop on Ethics, Social and Governance Issues in AI, 2018, November 7th.
- Fairness in the Face of Uncertainty, Workshop on Ethics, Social and Governance Issues in AI, 2018 (presenter: Michael Wang), November 7th.
- INFORMS 2018:
- Fairness Metrics in Facility Location Problems, in Fairness in Operations Research Session (organized by John Silberholz and I), @INFORMS Annual Meeting, WD09, November 7, 3:20 – 4:50 PM (presenter: Gireeja Ranade).
- On Low-Rank Quasi-Convex Minimization for Combinatorial Problems, in INFORMS Annual Meeting, TB20, November 6, 11:30 AM – 11:50 AM (presenter: Orestis Papadigenopoulos).
- Limited Memory Kelley’s Method Converges for Composite Convex and Submodular Objectives – INFORMS Annual Meeting, SD26, November 4, 4:30 – 6 PM, in INFORMS Undergraduate Research Competition (presenter: Sam Zhou).
- Tutorial on Bias/Fairness in AI/ML at the Future of Privacy Forum’s official side event at the 40th International Conference of Data Protection and Privacy Commissioners in Brussels (October 25th, 2018). Slides | Video
- Limited Memory Kelley’s Method, Discrete Optimization and Machine Learning, Tokyo, 07/2018.
- Learning and Optimization, Simons Institute, Annual Industry Day (slides).
- Learning What Works Best When, Mathematical and Computational Challenges in Real-time Decision Making, Simons Institute, 05/2018. (video)
- Learning Combinatorial Structures, Stanford Theory Seminar, 04/2018.
- Learning Combinatorial Structures, Session FB11: New Techniques in Discrete and Mixed Discrete Optimization, Optimization Society Meeting, 03/2018.
- Grand Challenges in AI/ML, 1st Transatlantic-Transpacific Workshop of the ML Research Triangle, Georgia Tech, 03/2018.
- Learning Combinatorial Structures, 1st Transatlantic-Transpacific Workshop of the ML Research Triangle, Georgia Tech, 03/2018.
- Learning Combinatorial Structures, Google Research, Mountain View, 02/2018.
- Growth and Decay of Functions, Berkeley Math Circle, 01/2018.
- Learning Combinatorial Structures, Workshop on Algorithms and Optimization, ICTS, Bangalore, 01/2018. (video)
- Learning What Works Best When, Visa Research, Palo Alto, 11/2017.
- Alexa, What Should I Read Next? Fireside Chats, Simons Institute, 11/2017.
- Learning Combinatorial Structures, Google/Simons Visit Day, @Google Mountain View, 10/2017.
- Learning Combinatorial Structures at
- Tepper School of Business, Carnegie Mellon University, February 2017
- UCLA Anderson School of Management, February 2017
- Cornell University, School of Operations Research and Industrial Engineering, February 2017
- Yale School of Management, February 2017
- University of Chicago Booth School of Business, January 2017
- Georgia Institute of Technology, H. Milton Stewart’s School of Industrial and Systems Engineering, January 2017
- Northwestern University, Industrial Engineering & Management Sciences, January 2017
- Bregman Projections on Submodular Base Polytopes, in Optimization for Machine Learning Workshop at NIPS , December 10, 2016 (Barcelona, Spain). (poster)
- INFORMS, November 13- 16, 2016 (Nashville, USA).
- Learning Combinatorial Structures on Sunday 13 November, 8 – 9:30 AM, SA12, 104B-MCC.
- An Efficient Algorithm for Dynamic Pricing using a Graphical Representation, on Tuesday 15 November, 8:00-9:30 AM, TA88, Broadway B-Omni. (Finalist for Service Science Section Student Paper Competition!)
- Learning Combinatorial Structures, Cornell ORIE Workshop on Data-Driven Decision Making, Ithaca, NY, 14-15 October 2016.
- Solving Combinatorial Games using Products, Projections and Lexicographically Optimal Bases, at Google Research, New York, April 14, 2016.
- Solving Combinatorial Games using Products, Projections and Lexicographically Optimal Bases, at the DBLab (CSE), Boston University, March 3, 2016.
- Learning Faster Combinatorial Structures, EECS Research Support Dinner at MIT, on “Machine Learning Theory and Applications”, February 16, 2016.
- Games People (Could not) Play, OPT-ML Reading group at MIT, November 2, 2015.
- INFORMS, November 1 – 4, 2015 (Philadelphia, USA).
- Winter is Coming: A Robust Optimization Approach to Inventory Routing, November 1, 8:00-9:30 AM.
- (co-author in) Tutorial by Georgia Perakis: How Analytics can Impact Promotion Pricing, November 1, 11:00-12:30 PM.
- Games People (could not) Play, November 1, 1:30-3:00 PM.
- Dynamic Pricing Through Combinatorial Methods, November 1, 4:30-6:00 PM.
- Grace Hopper Conference, October 14 – 16, 2015 (Houston, USA).
- Games People (could not) Play, October 15, 12-1 PM, Track: Artificial Intelligence.
- When Dynamic Pricing meets Graph Theory, MSOM (Manufacturing and Service Operations Management Conference), June 29-30, 2015 (Toronto, Canada).
- ISMP (22nd International Symposium on Mathematical Programming), July 12-17, 2015 (Pittsburgh, USA).
- When Dynamic Pricing meets Graph Theory, at Revenue Management and Pricing Conference, June 9-12, 2015 (New York, USA). (abstract)
- Games people (could not) play, at the LIDS student conference at MIT, January 2015.
- At INFORMS, November 2014 (San Francisco, USA).
- Games people (could not) play (abstract),
- When dynamic pricing meets graph theory (abstract),
- (Co-author in) Many heuristics are better that one: A data driven approach to MAX-CUT (presented by John and Iain, abstract),
- (Co-author in) A tractable approach to robust inventory routing (presented by Joel, abstract).
- Discrete Online TSP (abstract), at INFORMS 2013, November 2013 (Minnesota, USA).
- An Analytics Approach to Heuristic Selection, at the Informal Student Research Seminar, Operations Research Center. January 2013 (Cambridge, USA) [Slides]
- Towards a 4/3 approximation for the metric Traveling Salesman Problem, at the Operations Research Center Alumni Day, MIT. October 2011 (Cambridge, USA) [Poster]
- Short Tours for Traveling Salesman Problem, at the Grace Hopper Celebration India. December 2010 (Bangalore, India) [Poster]
- SPAN: A Unified Framework and Toolkit for Querying Heterogeneous Access Policies, at the 4th USENIX Workshop on Hot Topics in Security (HOTSEC). August 2009 (Montreal, Canada) [Slides]
Recorded Talks:
- Panel on Fairness in ML@GT, Georgia Tech, November 2019
- Panel at CPDP 2019 on Profiling, Microtargeting and a Right to Reasonable Algorithmic Inferences (video, slides), Brussels, February 2019
- Tutorial on Bias/Fairness in AI/ML (class, slides), Brussels, November 2018
- Learning What Works Best When, Simons Institute, UC Berkeley, May 2018
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