Joint Mathematics Meetings AMS Special Session
Current as of Saturday, January 13, 2024 03:30:04
- Program
- ·
- Deadlines
- ·
- Timetable
- ·
- Inquiries: meet@ams.org
2024 Joint Mathematics Meetings (JMM 2024)
- Moscone North/South, Moscone Center, San Francisco, CA
- January 3-6, 2024 (Wednesday - Saturday)
- Meeting #1192
Associate Secretary for the AMS Scientific Program:
Michelle Ann Manes, American Institute of Mathematics mmanes@secretariat.ams.org
AMS Special Session on Recent Progress in Inference and Sampling (Associated with AMS Invited Address by Ankur Moitra)
-
Wednesday January 3, 2024, 1:00 p.m.-5:00 p.m.
AMS Special Session on Recent Progress in Inference and Sampling (Associated with AMS Invited Address by Ankur Moitra), I
In the past few years there has been remarkable progress on understanding thealgorithmic aspects of performing inference and sampling in simple, ubiquitous stochasticmodels. Moreover this progress has been driven by a coming-together of perspectives and toolsfrom different fields, including high-dimensional probability and stochastic calculus, statisticalphysics and belief propagation, semidefinite programming hierarchies and complexity theory,combinatorics and high-dimensional expanders, and deep learning and generative modeling.The aim of this workshop is to bring together researchers spanning this diverse collection offields, to further elucidate connections between them.
Room 012, The Moscone Center
Organizers:
Ankur Moitra, Massachusetts Institute of Technology moitra@mit.edu
Sitan Chen, Harvard University
-
1:00 p.m.
Spectral Independence: A New Tool to Analyze Markov Chains
Kuikui Liu*, Massachusetts Institute of Technology
(1192-68-31865) -
2:00 p.m.
Fast mixing of Glauber dynamics for the RFIM under exponential decay of correlation
Ahmed El Alaoui*, Cornell University
(1192-60-30576) -
2:30 p.m.
CANCELLED - Sampling with Riemannian Hamiltonian Monte Carlo in a Constrained Space
Yunbum Kook, Georgia Institute of Technology
Yin Tat Lee, Microsoft
Ruoqi Shen*, University of Washington
Santosh S Vempala, Georgia Tech
(1192-60-30909) -
3:00 p.m.
Metastable Mixing of Markov Chains: Efficiently Sampling Low Temperature Exponential Random Graphs
Guy Bresler*, MIT
Dheeraj Nagaraj, Google AI
Eshaan Nichani, Princeton
(1192-60-30262) -
4:00 p.m.
Learning to Generate Multimodal Distributions via Langevin Diffusions with Data-based Initialization
Thuy-Duong Vuong*, Stanford University
(1192-60-29271) -
4:30 p.m.
Parallelising Glauber Dynamics
Holden Lee*, Johns Hopkins University
(1192-68-31735)
-
1:00 p.m.
-
Thursday January 4, 2024, 1:00 p.m.-5:00 p.m.
AMS Special Session on Recent Progress in Inference and Sampling (Associated with AMS Invited Address by Ankur Moitra), II
In the past few years there has been remarkable progress on understanding thealgorithmic aspects of performing inference and sampling in simple, ubiquitous stochasticmodels. Moreover this progress has been driven by a coming-together of perspectives and toolsfrom different fields, including high-dimensional probability and stochastic calculus, statisticalphysics and belief propagation, semidefinite programming hierarchies and complexity theory,combinatorics and high-dimensional expanders, and deep learning and generative modeling.The aim of this workshop is to bring together researchers spanning this diverse collection offields, to further elucidate connections between them.
Room 012, The Moscone Center
Organizers:
Ankur Moitra, Massachusetts Institute of Technology moitra@mit.edu
Sitan Chen, Harvard University
-
1:00 p.m.
Localization Schemes: A Framework for Proving Mixing Bounds for Markov Chains
Yuansi Chen*, Duke University
(1192-60-33073) -
2:00 p.m.
Trickle-Down in Localization Schemes and Applications
Frederic Koehler*, University of Chicago
(1192-60-29515) -
2:30 p.m.
Finding a giant component in random k-SAT
Ankur Moitra*, Massachusetts Institute of Technology
(1192-68-31944) -
3:00 p.m.
Optimality of Approximate Message Passing
Alex Wein*, UC Davis
(1192-68-31597) -
4:00 p.m.
The statistical cost of score matching
Andrej Risteski*, Carnegie Mellon University
(1192-68-30278) -
4:30 p.m.
Theory for diffusion models
Sitan Chen*, Harvard University
(1192-68-31897)
-
1:00 p.m.