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Thiago Bergamaschi - A Structural Theory of Quantum Metastability: Markov Properties and Area Laws
Presenter
- Thiago Bergamaschi
January 15, 2026
IPAM
Exchangeable random permutations with an application to Bayesian graph matching
Presenter
- Francesco Gaffi
January 15, 2026
ICERM
Scalable Slice Sampling for (Hierarchical) Dirichlet Process Mixtures
Presenter
- Beatrice Franzolini
January 15, 2026
ICERM
Anytime valid and asymptotically optimal statistical inference driven by predictive recursion
Presenter
- Vaidehi Dixit
January 15, 2026
ICERM
On a novel exact representation of species sampling processes
Presenter
- Ramses Mena
January 14, 2026
ICERM
Clustering with shot-noise Cox Process Mixture Models
Presenter
- Federico Camerlenghi
January 14, 2026
ICERM
M. Isabel Franco Garrido - Optimization algorithms using Gibbs state preparation and beyond
Presenter
- Isabel Garrido
January 14, 2026
IPAM
Pawel Wocjan - Quantized Markov chain couplings that prepare Qsamples - IPAM at UCLA
Presenter
- Pawel Wocjan
January 14, 2026
IPAM
Daniel Stilck Franca - Learning and certification of local time-dependent quantum dynamics and noise
Presenter
- Daniel Franca
January 14, 2026
IPAM
Jianfeng Lu - Lifting of Quantum Markov Processes - IPAM at UCLA
Presenter
- Jianfeng Lu
January 14, 2026
IPAM
Cambyse Rouze - Heisenberg-limited Hamiltonian learning continuous variable systems via dissipation
Presenter
- Cambyse Rouze
January 14, 2026
IPAM