Poster Displays
(in alphabetical order)

 

Name Institute Poster title
Manuel Arnese Columbia Convergence of Coordinate Ascent Variational Inference For Log Concave Measures via Optimal Transport
Renato Berlinghieri MIT Multi-marginal Schrödinger Bridges with Iterative Reference Refinement
Omar Chehab ENSAE Provable Convergence and Limitations of Geometric Tempering for Langevin Dynamics
Yifan Chen NYU Probabilistic Forecasting with Stochastic Interpolants and Föllmer Processes
Xiaoou Cheng NYU The Surprising Efficiency of Temporal Difference Learning for Rare Event Prediction
Shiva Darshan CERMICS École des Ponts Sticky Coupling as a Control Variate for Sensitivity Analysis
Qiang Fu Yale Mean-field Underdamped Langevin Dynamics and its Spacetime Discretization
Wei Guo Georgia Institute of Technology Provable Benefit of Annealed Langevin Monte Carlo for Non-log-concave Sampling
Jiequn Han Flatiron Institute Provable Posterior Sampling with Denoising Oracles via Tilted Transport
Fuqun Han UCLA Noise-Free Sampling Algorithms with Regularized Wasserstein Proximals
Yinbin Han NYU Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization
Ye He Georgia Institute of Technology Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion
     
Lingkai Kong Georgia Institute of Technology Convergence of Kinetic Langevin Monte Carlo on Lie groups
Yunbum Kook Georgia Institute of Technology Algorithmic Diffusions for Sampling Convex Bodies
Shuigen Liu National University of Singapore L-infinity approximation of localized distributions
Sifan Liu Flatiron Institute Transport Quasi Monte-Carlo
Charles Margossian Flatiron Institute Assessing the convergence of Markov chain Monte Carlo when running many short chains
Sid Mitra Yale SDPIs in Phi-Divergence and Phi-Mutual Information for the Langevin Dynamics and Algorithm
Chirag Modi Flatiron Institute ATLAS: Adapting Trajectory Length and Step-size
Aram-Alexandre Pooladian NYU Plug-in estimation of Schrödinger bridges
Matheau Santana-Gijzen Johns-Hopkins Convergence Bounds for Sequential Monte Carlo on Multimodal Distributions
Shunan Sheng Columbia Linearization of Monge-Amp\`ere equations and data science applications
Vishwak Srinivasan MIT High-accuracy sampling from constrained spaces with the Metropolis-adjusted Preconditioned Langevin Algorithm
Peter Walley ETH Kinetic Langevin Monte Carlo Methods
Luhuan Wu Columbia Practical and Asymptotically Exact Conditional Sampling in Diffusion Models
Bohan Wu Columbia Extending Mean-Field Variational Inference via Entropic Regularization: Theory and Computation
Kaylee Yang Yale Optimal Score Estimation via Empirical Bayes Smoothing
Kexin Zhang Johns-Hopkins Fast Mixing of Data Augmentation Algorithms: Bayesian Probit, Logit, and Lasso Regression
Matthew Zhang University of Toronto Sampling from the Mean-Field Stationary Distribution: Convergence and Isoperimetry
Xinzhe Zuo UCLA Gradient adjusted underdamped Langevin dynamics

The Poster Session will be on October 17, 2024 at 5:00 pm in Kline Tower. 

 

Submission: Posters should be submitted to yalesamplingconference@gmail.com. The submission must include the poster in PDF format, along with a title, abstract, and authors list. Posters must be received electronically by September 29, 2024  for consideration. The poster deadline has passed.

Those whose posters are selected will have their conference fees waived. The top 20 posters submitted by students outside Yale University which are selected for display may qualify for travel reimbursement up to $500.

Posters may be submitted by undergraduates, graduate students, and postdoctoral researchers. Only one author per poster will be eligible.

Poster selection committee:

Once your poster has been selected, students who wish to have their posters delivered on-site by the printer prior to their arrival may send them to Emily Hau in Kline Tower, Room 1333. 

Poster logistics and printing suggestions: https://guides.library.yale.edu/academic-poster-resources/logistics

Questions? Email emily.hau@yale.edu or for questions for the committee: yalesamplingconference@gmail.com