Travis Dick
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
9
Active years
2013–2025
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | Nearly Optimal Sample Complexity for Learning with Label Proportions. | Rbert Istvan Busa-Fekete, Travis Dick, Claudio Gentile, Haim Kaplan, Tomer Koren, Uri Stemmer |
| 2025 | KDD | Differentially Private Synthetic Data Release for Topics API Outputs. | Travis Dick, Alessandro Epasto, Adel Javanmard, Josh Karlin, Andrs Muoz Medina, Vahab Mirrokni, Sergei Vassilvitskii, Peilin Zhong |
| 2023 | ICML | Subset-Based Instance Optimality in Private Estimation. | Travis Dick, Alex Kulesza, Ziteng Sun, Ananda Theertha Suresh |
| 2023 | ICML | Learning-augmented private algorithms for multiple quantile release. | Mikhail Khodak, Kareem Amin, Travis Dick, Sergei Vassilvitskii |
| 2021 | STOC | How much data is sufficient to learn high-performing algorithms? generalization guarantees for data-driven algorithm design. | Maria-Florina Balcan, Dan F. DeBlasio, Travis Dick, Carl Kingsford, Tuomas Sandholm, Ellen Vitercik |
| 2020 | AISTATS | Learning piecewise Lipschitz functions in changing environments. | Dravyansh Sharma, Maria-Florina Balcan, Travis Dick |
| 2020 | ICLR | Learning to Link. | Maria-Florina Balcan, Travis Dick, Manuel Lang |
| 2020 | UAI | Semi-bandit Optimization in the Dispersed Setting. | Travis Dick, Wesley Pegden, Maria-Florina Balcan |
| 2018 | FOCS | Dispersion for Data-Driven Algorithm Design, Online Learning, and Private Optimization. | Maria-Florina Balcan, Travis Dick, Ellen Vitercik |
| 2018 | ICML | Learning to Branch. | Maria-Florina Balcan, Travis Dick, Tuomas Sandholm, Ellen Vitercik |
| 2017 | AAAI | Label Efficient Learning by Exploiting Multi-Class Output Codes. | Maria-Florina Balcan, Travis Dick, Yishay Mansour |
| 2017 | AAAI | Data Driven Resource Allocation for Distributed Learning. | Travis Dick, Mu Li, Venkata Krishna Pillutla, Colin White, Maria-Florina Balcan, Alexander J. Smola |
| 2017 | AISTATS | Data Driven Resource Allocation for Distributed Learning. | Travis Dick, Mu Li, Venkata Krishna Pillutla, Colin White, Nina Balcan, Alexander J. Smola |
| 2017 | ICML | Differentially Private Clustering in High-Dimensional Euclidean Spaces. | Maria-Florina Balcan, Travis Dick, Yingyu Liang, Wenlong Mou, Hongyang Zhang |
| 2014 | ICML | Online Learning in Markov Decision Processes with Changing Cost Sequences. | Travis Dick, Andrs Gyrgy, Csaba Szepesvri |
| 2013 | ICRA | SEPO: Selecting by pointing as an intuitive human-robot command interface. | Camilo Perez Quintero, Romeo Tatsambon Fomena, Azad Shademan, Nina Wolleb, Travis Dick, Martin Jgersand |