Amanda Coston
Assistant Professor
Studies when machine learning and causal inference can improve high-stakes societal decisions.
Amanda Coston's lab at UC Berkeley works on learning theory & optimization, probabilistic & causal inference and efficient training & inference. 9 papers since 2023, 4 at top venues, mostly FAccT and CHI. Applications close .
At a glance
- papers, 2023–2026
- 2/ year
- at T1 venues
- 44%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 3 papers2026 · T1 1 · collecting
- 0 papers2025 · T1 0
- 3 papers2024 · T1 3
- 3 papers2023 · T1 0
T1 venuesOtherVenues: FAccT, CHI, CSCW, ICML, NeurIPS
Research focuspaper titles that use each topic's words
- Probabilistic & causal inference1 paper
- Efficient training & inference1 paper
- Learning theory & optimization0 papers
- societal0 papers
- improve0 papers
Paper list
From the lab homepage.
20263 papers
- NeurIPS (T1)Beyond the Training Distribution: Evaluating Predictions Under Distribution Shift and Selection Bias
- FAccTFalsifying the Discriminant Validity of Predictive Algorithms
- FAccTJudging the Judges: Evaluating Pretrial Release Decisions with a Simple Nonparametric Approach
20243 papers
- ICML (T1)Predictive Performance Comparison of Decision Policies Under Confounding.
- CSCW (T1)Studying up public sector AI: Shifting our gaze upwards to study systems of power in public sector AI
- CHI (T1)The Situate AI Guidebook: Co-designing a toolkit to support multi-stakeholder early-stage deliberations around public sector AI proposals
20233 papers
- SaTMLA Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithms
- FAccTCounterfactual Prediction Under Outcome Measurement Error
- FAccTGround(less) Truth: A Causal Framework for Proxy Labels in Human-Algorithm Decision-Making
Where alumni went
Alumni are not listed on the lab homepage.
Apply to UC BerkeleyFall 2027
UC Berkeley EECS Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- not required
- English
- TOEFL/IELTS (non-English-country degrees)
- Fee
- See program page
Confirmed on the program page.
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Your notes
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Data
Some numbers could not be verified:
- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Not collected
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
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