Adel Javanmard
22 papers · 2012–2025 · 5 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 10 separate collaboration groups - the largest holds only 45% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Adel Javanmard?
3 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Vahab Mirrokni, Lin Chen, Gang Fu
10 papers
· 2019–2025
· ICML, NeurIPS, ICLR
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DeepCrossAttention: Supercharging Transformer Residual Connections
ICML 2025
Improving the Variance of Differentially Private Randomized Experiments through Clustering
ICML 2025
Integer Programming for Generalized Causal Bootstrap Designs
ICML 2025
Retraining with Predicted Hard Labels Provably Increases Model Accuracy
ICML 2025
Learning from Aggregate responses: Instance Level versus Bag Level Loss Functions
ICLR 2024
Optimistic Rates for Learning from Label Proportions
COLT 2024
PriorBoost: An Adaptive Algorithm for Learning from Aggregate Responses
ICML 2024
Anonymous Learning via Look-Alike Clustering: A Precise Analysis of Model Generalization
NeurIPS 2023
Learning Rate Schedules in the Presence of Distribution Shift
ICML 2023
Dynamic Incentive-Aware Learning: Robust Pricing in Contextual Auctions
NeurIPS 2019
7 papers whose co-authors appear nowhere else under this name
Robust Feature Learning for Multi-Index Models in High Dimensions
ICLR 2025
Perturbation Bounds for Procrustes, Classical Scaling, and Trilateration, with Applications to Manifold Learning
JMLR 2020
Precise Tradeoffs in Adversarial Training for Linear Regression
COLT 2020
Dynamic Pricing in High-dimensions
JMLR 2019
Perishability of Data: Dynamic Pricing under Varying-Coefficient Models
JMLR 2017
Learning Linear Bayesian Networks with Latent Variables
ICML 2013
Efficient Reinforcement Learning for High Dimensional Linear Quadratic Systems
NeurIPS 2012