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Counting Complexity and Phase Transitions Boot Camp

date:2016-01-26..2016-01-29
location:Berkeley, United States

Research on computational aspects of counting problems and partition functions has recently seen significant advances. This program aims to better understand the computational complexity of both exact and approximate counting problems, and their relationship to phase transitions in combinatorics and statistical physics.

complexity theorists, algorithm designers, statistical physicists, probabilists and random processes researchers, combinatorics researchers, graduate students in theoretical CS

Pfaffian orientations and Kasteleyn/FKT algorithm; matchgates and holographic reductions; Markov chain mixing times and coupling; conductance and canonical paths; Metropolis filter and MCMC sampling; coupling from the past exact sampling; partition function and free energy per particle; decay of correlations in spin systems; random K-SAT thresholds and survey propagation; dichotomy theorems for counting CSPs; approximate counting, FPRAS and BIS reductions; polymorphisms, gadget constructions and Fourier matrix decompositions

titleauthorlength
The Classification Program for Counting Problems IJin-Yi Cai01h 00m
Covers the concrete claim that perfect matchings on planar graphs are computable in polynomial time by reducing the count to a Pfaffian via a Kasteleyn/FKT…
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Approximate Counting ILeslie Ann Goldberg01h 02m
Survey claims three coarse approximation classes: problems with an FPRAS, NP‑hard ones (SAT‑level), and an intermediate class centered on BIS (counting…
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Markov Chain Mixing Times and Applications IIvona Bezáková, Nayantara Bhatnagar01h 02m
Starts from Markov chains, defines ergodic chains and mixing time, links convergence to the spectral gap (eigenvalue 1 vs second eigenvalue) and shows how to…
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Where the Hard Things AreAndrea Montanari01h 07m
Random K-SAT exhibits a sharp satisfiability threshold ~4.267 for k=3 and a geometry where solutions break into exponentially many well-separated clusters then…
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Markov Chain Mixing Times and Applications IINayantara Bhatnagar01h 02m
Metropolis chain on proper colorings mixes in order O(n log n) when the number of colors satisfies q > 4Δ via a simple coupling that contracts expected Hamming…
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Dichotomy Theorems for Counting Problems IXi Chen58m
Classifies partition functions Z_A(G) for any complex symmetric matrix A as either polynomial-time computable or #P-hard, with tractable cases exactly the…
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Approximate Counting IIDavin Richerby56m
Gives a trichotomy for approximately counting Boolean CSP solutions: if every relation is affine then exact counting runs in polynomial time via Gaussian…
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The Partition Function, Sampling and Equilibration in PhysicsFlorent Krzakala, Lenka Zdeborova01h 11m
Physicist framing focuses on the free energy as log Z per particle and uses Monte Carlo heuristics to locate sharp phase transitions; empirically mixing time…
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Constraints, Gadgets, and InvariantsAndrei Bulatov54m
Gadget constructions reduce CSPs to each other by wiring small constraint networks; polymorphisms characterize gadget reductions for decision CSPs (and for…
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The Classification Program for Counting Problems IIJin-Yi Cai01h 03m
Presents a concrete classification: symmetric Boolean constraint functions are either transformable into matchgate signatures and solved via Pfaffian…
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Dichotomy Theorems for Counting Problems IIXi Chen58m
Dichotomy: every counting CSP over a fixed finite language is either computable in polynomial time or #P-hard. The easy side is exactly those languages…
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Markov Chain Mixing Times and Applications IIIIvona Bezáková58m
Introduces conductance bounds tied to spectral gap and uses conductance and canonical paths to get explicit mixing-time estimates, then builds canonical paths…
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Random Constraint Satisfaction ProblemsNike Sun58m
Random k‑SAT has a sharp satisfiability threshold predicted by the physics one‑step replica symmetry breaking formula and proven for sufficiently large k; the…
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The Classification Program for Counting Problems IIIHeng Guo55m
Classifies planar Holant problems: symmetric complex-weighted signatures are either in one of the tractable families (affine, product, matchgate after…
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Decay of Correlations in Spin SystemsYitong Yin01h 03m
Shows that the algorithmic phase transition aligns with the uniqueness threshold on the infinite (d+1)-regular tree and gives a concrete route to algorithms…
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The Simple, Little and Slow Things Count: On Parameterized Counting ComplexityRadu-Cristian Curticapean01h 08m
Shows concrete limits: uses the Holant framework with nonplanar matchgates and a new combined signatures trick to reduce #3SAT and parameterized #CSPs to…
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