5-630PM, Wednesday and Saturdays.
Intro to Markov Chains and the MCMC Method (by Girish)
Shuffling Cards Analysis | Fundamental Theorem of Convergence of MCs
Uniform Sampling and Approximate Counting (by Girish)
MC for Knapsack | Reduction from Counting to Sampling
Coupling of Markov Chains (by Athreya)
Analysis of Random Walk on Hypercube using Coupling
Spectral Graph Theory and MCs (by Shantanu)
Eigenvalues and MCs | Conductance and Second largest eigenvalue
Path Coupling (by Athreya)
Examples the Hypercube Random Walk, Colorings
Generating and Sampling Orbits for Lifted Probabilistic Inference. UAI'19
http://proceedings.mlr.press/v115/holtzen20a/holtzen20a.pdf
Block-Value Symmetries in Probabilistic Graphical Models. UAI'18
https://arxiv.org/abs/1807.00643
Contextual Symmetries in Probabilistic Graphical Models
http://www.cse.iitd.ernet.in/~mausam/papers/ijcai16b.pdf
Markov Chains on Orbits of Permutation Groups. UAI'12
https://arxiv.org/abs/1206.5396
Learning Energy-Based Models by Diffusion Recovery Likelihood.
https://arxiv.org/abs/2012.08125
How to Train Your Energy-Based Models.
https://arxiv.org/abs/2101.03288
Generalized Energy Based Models
https://openreview.net/forum?id=0PtUPB9z6qK
Stochastic Normalizing Flows
https://arxiv.org/abs/2002.06707
Manifold Exploration: A Markov Chain Monte Carlo Technique for Rendering Scenes with Difficult Specular Transport.
http://www.cs.cornell.edu/projects/manifolds-sg12/manifolds-sg12.pdf
Path Space Markov Chain Monte Carlo Methods in Computer Graphics
https://link.springer.com/chapter/10.1007/978-3-319-33507-0_4
LEARNING OPTIMAL TRAFFIC ROUTING BEHAVIORS USING MARKOVIAN FRAMEWORK IN MICROSCOPIC SIMULATION
https://people.eecs.berkeley.edu/~theophile/docs/publications/Cabannes_20_TRB.pdf
Estimating Urban Traffic Patterns through Probabilistic Interconnectivity of Road Network Junctions
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0127095
On Sampling Simple Paths in Planar Graphs According to Their Lengths
https://people.inf.ethz.ch/pennap/papers/sampling-LNCS.pdf
Metropolis-Hastings sampling of paths
https://transp-or.epfl.ch/documents/technicalReports/FloeBier11.pdf
TrueSkill Through Time: Revisiting the History of Chess
https://www.microsoft.com/en-us/research/wp-content/uploads/2008/01/NIPS2007_0931.pdf
Beyond Skill Rating: Advanced Matchmaking in Ghost Recon Online https://ieeexplore.ieee.org/document/6156756
Meeting your match
https://mbmlbook.com/TrueSkill.html
Pairwise Comparisons with Flexible Time-Dynamics
https://dl.acm.org/doi/pdf/10.1145/3292500.3330831?casa_token=CWxxUgzjkXkAAAAA:Afk8YnOi1zgWQNzyOHO_q6hfiyXPAGkgs5ueoPHqUg1tX08-qN0rauz5PQo1TRiU-pKa3yg5i_kgqJs
A Neural Network Go Rating Model Considering Winning Rate
https://dl.acm.org/doi/pdf/10.1145/3374587.3374626?casa_token=BLQjsgkR9cQAAAAA:Tw-ZCPox8hWCXvgSWOY9oA_9pxR7KCTxXOTvQTkYQ8kP77Ant_I-qPZ9entrHhmNidDqah8KbnINd8c