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src/assets/publications.json

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},
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{
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"type": "workshop",
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"type": "conference",
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"title": "A Critical Look At Tokenwise Reward-Guided Text Generation",
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"author": [
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"Ahmad Rashid",
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"Agustinus Kristiadi*",
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"Pascal Poupart*"
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],
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"venue": "ICML Workshop on Foundation Models in the Wild",
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"year": 2024,
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"venue": "COLM",
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"year": 2025,
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"paper": "https://arxiv.org/abs/2406.07780"
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},
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src/content/openings.md

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# Open Positions
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I have openings for funded 4-year **PhD** and 5-term (~1.5 years) thesis-based **MSc** students, to work on **large-scale probabilistic models** (Bayesian and frequentist), **decision-making under uncertainty** (Bayesian optimization, bandits, tree search, etc.), and their applications in **AI4Science** (chemistry, biology, etc.).
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I have a few openings for funded 4-year **PhD** and 5-term (~1.5 years) thesis-based **MSc** students, to work on **large-scale probabilistic models** (Bayesian and frequentist), **decision-making under uncertainty** (Bayesian optimization, bandits, tree search, etc.), and their applications in **AI4Science** (chemistry, biology, etc.).
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**Important:** My work is in the **foundation of machine learning** (think math, proofs, algorithms), but motivated by applications. I'm **not** looking for candidates who are interested only in applications.
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src/pages/publications/index.astro

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of the paper.
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</p>
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<Section title='Conference' class='pt-12'>
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<Section title='Conference' class='pt-12 sm:pt-8'>
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<div class='flex flex-col gap-y-2 md:flex-row md:gap-x-5 md:gap-y-0'>
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<div class='w-full flex-wrap gap-x-4 gap-y-2'>
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<PublicationList
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</div>
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</Section>
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<Section title='Thesis' class='sm:pt-8'>
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<Section title='Thesis' class='pt-12'>
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<div class='flex flex-col gap-y-2 md:flex-row md:gap-x-5 md:gap-y-0'>
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<div class='w-full flex-wrap gap-x-4 gap-y-2'>
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<PublicationList

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