Naveen Raman
PhD Student Carnegie Mellon University
Previous MPhil @ University of Cambridge, Undergrad University of Maryland
naveenr [AT] cmu.edu
About
Hello! I'm a second year PhD student in the Machine Learning Department at Carnegie Mellon University, advised by Fei Fang, and funded by an NSF Fellowship.
My research focuses on improving decision-making in uncertain environments, including topics such as multi-agent learning, bandit feedback, and sequential resource allocation.
My work studies these problems in real-world applications including food sustainability and healthcare.
I previously obtained my MPhil in Advanced Computer Science on a Churchill Scholarship, where I worked with Mateja Jamnik to understand explainability through concept learning models.
I received my BS in Computer Science and Math from the University of Maryland, during which I worked with John Dickerson on fairness in rideshare, and with Jordan Boyd-Graber on entity linking algorithms.
If you want to chat about any of these topics, or just about research in general, feel free to reach out!
Publications
Most recent publications on Google Scholar.
‡ indicates equal contribution.
Data-driven Design of Randomized Control Trials with Guaranteed Treatment Effects
Santiago Cortes-Gomez, Naveen Raman, Aarti Singh, Bryan Wilder
Under Submission
Assortment Optimization for Matching Patients and Providers
Naveen Raman, Holly Wiberg
ML4H Findings '24
Global Rewards in Restless Multi-Armed Bandits
Naveen Raman, Ryan Shi, Fei Fang
NeurIPS '24
Understanding Inter-Concept Relationships in Concept-Based Models
Naveen Raman, Mateo Espinosa Zarlenga, Mateja Jamnik
ICML '24
Do Concept Bottleneck Models Obey Locality?
Naveen Raman, Mateo Espinosa Zarlenga, Juyeon Heo, Mateja Jamnik
NeurIPS '23 XAI: Past, Present, and Future Workshop
Human Uncertainty in Concept-Based AI Systems
Katherine M. Collins, Matthew Barker, Mateo Espinosa Zarlenga, Naveen Raman, Umang Bhatt, Mateja Jamnik, Ilia Sucholutsky, Adrian Weller, Krishnamurthy Dvijotham
AIES '23
Data-driven Design of Randomized Control Trials with Guaranteed Treatment Effects
Santiago Cortes-Gomez, Naveen Raman, Aarti Singh, Bryan Wilder
Under Submission
Assortment Optimization for Matching Patients and Providers
Naveen Raman, Holly Wiberg
ML4H Findings '24
Global Rewards in Restless Multi-Armed Bandits
Naveen Raman, Ryan Shi, Fei Fang
NeurIPS '24
Understanding Inter-Concept Relationships in Concept-Based Models
Naveen Raman, Mateo Espinosa Zarlenga, Mateja Jamnik
ICML '24
Do Concept Bottleneck Models Obey Locality?
Naveen Raman, Mateo Espinosa Zarlenga, Juyeon Heo, Mateja Jamnik
NeurIPS '23 XAI: Past, Present, and Future Workshop
Human Uncertainty in Concept-Based AI Systems
Katherine M. Collins, Matthew Barker, Mateo Espinosa Zarlenga, Naveen Raman, Umang Bhatt, Mateja Jamnik, Ilia Sucholutsky, Adrian Weller, Krishnamurthy Dvijotham
AIES '23
Improving Learning-to-Defer Algorithms Through Fine-Tuning
Naveen Raman, Michael Yee
NeurIPS '21 Human and Machine Decisions Workshop
Eliciting Bias in Question Answering Models through Ambiguity
Andrew Mao‡, Naveen Raman‡, Matthew Shu, Eric Li, Franklin Yang, Jordan Boyd-Graber
EMNLP '21 Machine Reading for Question Answering Workshop
Data-Driven Methods for Balancing Fairness and Efficiency in Ride-Pooling
Naveen Raman, Sanket Shah, John Dickerson
IJCAI '21
What more can Entity Linking do for Question Answering
Naveen Raman, Pedro Rodriguez, Jordan Boyd-Graber
NeurIPS '20: Human And Machine in-the-Loop Evaluation and Learning Strategies Workshop
Stress and Burnout in Open Source: Toward Finding, Understanding, and Mitigating Unhealthy Interactions.
Naveen Raman, Minxuan Cao, Yulia Tsvetkov, Christian Kaestner, Bogdan Vasilescu
ICSE '20 (NIER Track)
News
- November 2024 - Gave talks at The Food Rescue Conference and the MARL reading group at UMD
- October 2024 - Our work on patient-provider matching was accepted to ML4H!
- October 2024 - Our paper on global RMABs was accepted into NeurIPS!
- April 2024 - Our paper on inter-concept relationships was accepted into ICML!
- November 2023 - Our paper on spatial locality was accepted into the NeurIPS workshop on XAI!
- August 2023 - Started my PhD program at Carnegie Mellon University
- July 2023 - Graduated from the University of Cambridge
- May 2023 - I presented our work on concept uncertainty at a Gordon Research Seminar
- May 2023 - Our paper on concept uncertainty was accepted into AIES!
- October 2022 - Started school at the University of Cambridge
- May 2022 - Graduated from the University of Maryland
- May 2022 - Finished my internship at the World Resources Institute
- April 2022 - Received the NSF Fellowship for 3 years of grad school funding!
- February 2022 - Started my internship at the World Resources Institute
- January 2022 - Received the Churchill for an MPhil at the University of Cambridge!
- January 2022 - Named a finalist for the CRA Undergraduate Researcher Award!
- November 2021 - Our paper on learning-to-defer algorithms was accepted into the NeurIPS WHMD Workshop!
- October 2021 - Our paper bias in question answering was accepted into the EMNLP MRQA Workshop!
- August 2021 - Finished my internship at MIT Lincoln Labs
- May 2021 - Started my internship at MIT Lincoln Labs
- April 2021 - Our paper on fairness in rideshare was accepted into IJCAI!
- March 2021 - Named a Goldwater Scholar!
Reading List
- Congo: The Epic History of a People by David Van Reybrouck
- Shoe Dog: A Memoir by the Creator of Nike by Phil Knight
- Noise: A Flaw in Human Judgement by Daniel Kahneman
- The Underground Railroad by Colson Whitehead
- Collision of Power: Trump, Bezos, and the Washington Post by Martin Baron
- Afterparties by Anthony Veasna So
- Correction: Parole, Prison, and the Possibility of Change by Ben Austen
- American Wasteland: How America Throws Away Nearly Half of Its Food by Jonathan Bloom
- The Passage of Power by Robert Caro
- John Lewis by Raymond Arsenault
- Six Amendments: How and Why We Should Change the Constitution by John Paul Stevens
- Early Indians: The Story of Our Ancestors and Where We Came From by Tony Joseph
2024
- Meditations by Marcus Aurelius
- Thinking, Fast and Slow by Daniel Kahneman
- In Cold Blood by Truman Capote
- Fear and Loathing in Las Vegas by Hunter S. Thompson
- The Better Angels of Our Nature by Steven Pinker
- Manhattan Transfer by John Dos Pasos
- The Brief Wonderous Life of Oscar Wao by Junot Diaz
- India After Gandhi: The History of the World's Largest Democracy by Ramachandra Guha
- A Promised Land by Barack Obama
- Harlem Shuffle by Colson Whitehead
- Poverty, by America by Matthew Desmond
- King: A Life by Jonathan Eig
- The Old Man and the Sea by Ernest Hemmingway
- Ducks: Two Years in the Oil Sands by Kate Beaton
- Who Gets What - and Why: The New Economics of Matchmaking and Market Design by Alvin Roth
2023
- The Masters and the Slaves by Gilberto Freyre
- The Last of the Mohicans by James Fenimore Cooper
- The Song of Achilles by Madeline Miller
- The Art of Doing Science and Engineering by Richard Hamming
- How Markets Fail: The Logic of Economic Calamities by John Cassidy
- Freakonomics by Steven Levitt
- About Town by Ben Yagoda
- When to Rob a Bank by Steven Levitt
- Superintelligence by Nick Bostrom
- Napoleon's Buttons by Jay Burreson
- The Summer Game by Roger Angell
- Possible Minds: Twenty five ways of looking at AI by John Brockman
- Salt, Fat, Acid, Heat: Mastering the Elements of Good Cooking by Samin Nosrat
- The Death and Life of Great American Cities by Jane Jacobs
- Mythologies by Roland Barthes
- The Sound and the Fury by William Faulkner
- The Best American Science and Nature Writing by Sy Montgomery
- Bloodlands: Europe Between Hitler and Stalin by Timothy Snyder
- The Pedagogy of the Oppressed by Paulo Freire
- The Bad Side of Books by DH Lawrence
- Colorless Tsukuru Tazaki by Haruki Murakami
- Death on the Nile by Agatha Christie
- The Argumentative Indian by Amartya Sen
- The Long Divergence by Timur Kuran
- Flash Boys by Michael Lewis
- The Bear and the Nightengale by Katherine Arden
- Street Gang: The Complete history of Sesame Street by Michael Davis
- The Anarchy: The Relentless Rise of the East India Company by Michael Davis
2022
- Moby Dick by Herman Melville
- The Varieties of Religious Experiences by William James
- Rhinoceros by Eugene Ionesco
- Metamorphoses by Ovid
- Orientalism by Edward Said
- At home by Bill Bryson
- Intermediate Microeconomics: A Modern Approach by Hal Varian
- Botany for Gardners by Brian Capon
- The Joy Luck Club by Amy Tan
- Ethics and the Military Profession by George Lucas and Rick Rubel
- Barry Goldwater by Robert Goldberg
- The American Language by H. L. Mencken
- The Piano Lesson by August Wilson
- The American Canon by Harold Bloom
- African Dominion by Michael Gomez
- The Golden Bough (Part 1) by James Frazer
- Tales from Shakespeare by Charles and Mary Lamb
- What If by Randall Munroe
- Go Tell It On the Mountain by James Baldwin
- History of Opera by Stanley Sadie
- The Stories of F. Scott Fitzgerald Volume 5 by F. Scott Fitzgerald
- Defeat into Victory by William Slim
2021
- The Story of Art by Ernst Gombrich
- The Iliad by Homer
- The Aeneid by Virgil
- A History of Japan 1615-1867 by George Sansom
- Eichmann in Jerusalem by Hannah Ardent
- Macroeconomics by George Mankiw
- Africa: A Biography of the Continent by John Reader
- Black Reconstruction in America 1860-1880 by W.E.B. Du Bois
- The History of Jazz by Ted Gioia
- Grant by Ron Chernow
- The Library of Greek Mythology by Apollodorus
- Master Harold...and the boys by Athol Fugard
- A Peace to End All Peace by David Fromkin
- China: A History by John Keay
- As I Lay Dying by William Faulkner
- Darkness at Noon by Arthur Koestler
- Rosencrantz and Guildenstern are dead by Tom Stoppard
- Osman's Dream by Caroline Finkel
- A Brief History the Late Ottoman Empire by M Sukru Hanioglu
- Hegel in 90 Minutes by Paul Strathern
- Empire of the Mind: A History of Iran by Michael Axworthy
- The Social Contract by Jean-Jacques Rousseau