Search Results for author: Alkis Gotovos

Found 6 papers, 2 papers with code

On the Existence of Universal Lottery Tickets

1 code implementation ICLR 2022 Rebekka Burkholz, Nilanjana Laha, Rajarshi Mukherjee, Alkis Gotovos

The lottery ticket hypothesis conjectures the existence of sparse subnetworks of large randomly initialized deep neural networks that can be successfully trained in isolation.

Scaling up Continuous-Time Markov Chains Helps Resolve Underspecification

no code implementations NeurIPS 2021 Alkis Gotovos, Rebekka Burkholz, John Quackenbush, Stefanie Jegelka

Modeling the time evolution of discrete sets of items (e. g., genetic mutations) is a fundamental problem in many biomedical applications.

Strong Log-Concavity Does Not Imply Log-Submodularity

no code implementations25 Oct 2019 Alkis Gotovos

We disprove a recent conjecture regarding discrete distributions and their generating polynomials stating that strong log-concavity implies log-submodularity.

Discrete Sampling using Semigradient-based Product Mixtures

no code implementations4 Jul 2018 Alkis Gotovos, Hamed Hassani, Andreas Krause, Stefanie Jegelka

We consider the problem of inference in discrete probabilistic models, that is, distributions over subsets of a finite ground set.

Point Processes

Sampling from Probabilistic Submodular Models

no code implementations NeurIPS 2015 Alkis Gotovos, Hamed Hassani, Andreas Krause

Submodular and supermodular functions have found wide applicability in machine learning, capturing notions such as diversity and regularity, respectively.

Point Processes

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