Amit Deshpande
16 papers · 2015–2025 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+5 more ↓ Show less ↑
π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (35) π Academic Marathon Β· Half π£ Hot Topic Early Bird
π
Renaissance Researcher
(6)
π₯
Unstoppable Β· Bronze
β
The Questioner
(4)
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(76)
Top co-authors
Research topics
Machine Learning
(16)
Core Methods
(8)
Application Areas
(7)
Optimization & Theory
(6)
Artificial Intelligence
(5)
Learning Types
(5)
Core AI
(4)
Deep Learning
(3)
Mathematics & Optimization
(3)
Optimization
(3)
Data Science & Analytics
(2)
Applications
(2)
Computer Science
(1)
Computer Vision
(1)
Natural Language Processing
(1)
Keywords
fairness constraint
(3)
adversarial training
(2)
k-means clustering
(2)
group fairness
(2)
determinantal point process
(2)
algorithmic fairness
(2)
approximation algorithm
(2)
equal opportunity
(2)
domain generalization
(1)
curriculum learning
(1)
model selection
(1)
model robustness
(1)
in-context learning
(1)
cross-lingual transfer
(1)
image classification
(1)
gaussian process
(1)
hyperparameter optimization
(1)
outlier detection
(1)
task generalization
(1)
density estimation
(1)
Papers
Optimal Fair Learning Robust to Adversarial Distribution Shift
ICML 2025
How Far Can Fairness Constraints Help Recover From Biased Data?
ICML 2024
NICE: To Optimize In-Context Examples or Not?
ACL 2024
Rethinking Robustness of Model Attributions
AAAI 2024
Causal Effect Regularization: Automated Detection and Removal of Spurious Correlations
NeurIPS 2023
Sampling Ex-Post Group-Fair Rankings
IJCAI 2023
Learning and Generalization in Overparameterized Normalizing Flows
AISTATS 2022
Can we have it all? On the Trade-off between Spatial and Adversarial Robustness of Neural Networks
NeurIPS 2021
How Linguistically Fair Are Multilingual Pre-Trained Language Models?
AAAI 2021
On the Problem of Underranking in Group-Fair Ranking
ICML 2021
The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective
AAAI 2021
Robust k-means++
UAI 2020
On Euclidean k-Means Clustering with alpha-Center Proximity
AISTATS 2019
Fair and Diverse DPP-Based Data Summarization
ICML 2018
Batched Gaussian Process Bandit Optimization via Determinantal Point Processes
NeurIPS 2016
On Greedy Maximization of Entropy
ICML 2015