Bo Waggoner
18 papers · 2015–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (6) π Academic Marathon (10) π Cross-Pollinator (12)
πΊοΈ
Taxonomy Completionist
(29)
π
Interdisciplinary Bridge
π
Conference Polyglot
(6)
π
Keyword Champion
(2)
π
Century Club
(18)
π
Trend Setter
π₯
Unstoppable
(5)
ποΈ
Keyword Collector
(88)
Conferences
NIPS (11)
AAAI (2)
COLT (2)
AISTATS (1)
ICML (1)
JMLR (1)
Top co-authors
Research topics
Keywords
polyhedral loss
(4)
mechanism design
(4)
convex surrogate
(3)
empirical risk minimization
(3)
convex optimization
(2)
incentive compatibility
(2)
polyhedral surrogate
(2)
proper loss
(2)
online learning
(2)
link function
(2)
privacy preservation
(2)
convex surrogate loss
(2)
prediction market
(2)
property elicitation
(2)
differential privacy
(2)
surrogate loss
(2)
loss function
(2)
online classification
(1)
structured prediction
(1)
regret analysis
(1)
Papers
Forecasting Competitions with Correlated Events
AAAI 2025
Trading off Consistency and Dimensionality of Convex Surrogates for Multiclass Classification
NIPS 2024
An Embedding Framework for the Design and Analysis of Consistent Polyhedral Surrogates
JMLR 2024
Proper Losses for Discrete Generative Models
ICML 2023
Unifying lower bounds on prediction dimension of convex surrogates
NIPS 2021
Surrogate Regret Bounds for Polyhedral Losses
NIPS 2021
Embedding Dimension of Polyhedral Losses
COLT 2020
Preventing Arbitrage from Collusion When Eliciting Probabilities
AAAI 2020
Toward a Characterization of Loss Functions for Distribution Learning
NIPS 2019
An Embedding Framework for Consistent Polyhedral Surrogates
NIPS 2019
Multi-Observation Regression
AISTATS 2019
Equal Opportunity in Online Classification with Partial Feedback
NIPS 2019
Local Differential Privacy for Evolving Data
NIPS 2018
A Smoothed Analysis of the Greedy Algorithm for the Linear Contextual Bandit Problem
NIPS 2018
Bounded-Loss Private Prediction Markets
NIPS 2018
Multi-Observation Elicitation
COLT 2017
Accuracy First: Selecting a Differential Privacy Level for Accuracy Constrained ERM
NIPS 2017
A Market Framework for Eliciting Private Data
NIPS 2015