Aleksandrs Slivkins
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
39
Venues
17
Active years
2003–2025
Best venue rank
A*
Where they publish
Papers
39 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AAAI | Robust Performance Incentivizing Algorithms for Multi-Armed Bandits with Strategic Agents. | Seyed A. Esmaeili, Suho Shin, Aleksandrs Slivkins |
| 2024 | AAAI | Content Filtering with Inattentive Information Consumers. | Ian Ball, James W. Bono, Justin Grana, Nicole Immorlica, Brendan Lucier, Aleksandrs Slivkins |
| 2024 | COLT | Autobidders with Budget and ROI Constraints: Efficiency, Regret, and Pacing Dynamics. | Brendan Lucier, Sarath Pattathil, Aleksandrs Slivkins, Mengxiao Zhang |
| 2024 | ICML | Impact of Decentralized Learning on Player Utilities in Stackelberg Games. | Kate Donahue, Nicole Immorlica, Meena Jagadeesan, Brendan Lucier, Aleksandrs Slivkins |
| 2024 | STOC | Strategic Budget Selection in a Competitive Autobidding World. | Yiding Feng, Brendan Lucier, Aleksandrs Slivkins |
| 2023 | COLT | Contextual Bandits with Packing and Covering Constraints: A Modular Lagrangian Approach via Regression. | Aleksandrs Slivkins, Karthik Abinav Sankararaman, Dylan J. Foster |
| 2022 | WWW | Truthful Online Scheduling of Cloud Workloads under Uncertainty. | Moshe Babaioff, Ronny Lempel, Brendan Lucier, Ishai Menache, Aleksandrs Slivkins, Sam Chiu-wai Wong |
| 2021 | CLOUD | Sayer: Using Implicit Feedback to Optimize System Policies. | Mathias Lcuyer, Sang Hoon Kim, Mihir Nanavati, Junchen Jiang, Siddhartha Sen, Aleksandrs Slivkins, Amit Sharma |
| 2021 | SODA | Beating Greedy For Approximating Reserve Prices in Multi-Unit VCG Auctions. | Mahsa Derakhshan, David M. Pennock, Aleksandrs Slivkins |
| 2019 | COLT | Contextual bandits with continuous actions: Smoothing, zooming, and adapting. | Akshay Krishnamurthy, John Langford, Aleksandrs Slivkins, Chicheng Zhang |
| 2019 | EC | The Perils of Exploration under Competition: A Computational Modeling Approach. | Guy Aridor, Kevin Liu, Aleksandrs Slivkins, Zhiwei Steven Wu |
| 2019 | FOCS | Adversarial Bandits with Knapsacks. | Nicole Immorlica, Karthik Abinav Sankararaman, Robert E. Schapire, Aleksandrs Slivkins |
| 2019 | WWW | Bayesian Exploration with Heterogeneous Agents. | Nicole Immorlica, Jieming Mao, Aleksandrs Slivkins, Zhiwei Steven Wu |
| 2018 | AISTATS | Combinatorial Semi-Bandits with Knapsacks. | Karthik Abinav Sankararaman, Aleksandrs Slivkins |
| 2018 | COLT | The Externalities of Exploration and How Data Diversity Helps Exploitation. | Manish Raghavan, Aleksandrs Slivkins, Jennifer Wortman Vaughan, Zhiwei Steven Wu |
| 2017 | HOTNETS | Harvesting Randomness to Optimize Distributed Systems. | Mathias Lcuyer, Joshua Lockerman, Lamont Nelson, Siddhartha Sen, Amit Sharma, Aleksandrs Slivkins |
| 2016 | SIGIR | How Many Workers to Ask?: Adaptive Exploration for Collecting High Quality Labels. | Ittai Abraham, Omar Alonso, Vasilis Kandylas, Rajesh Patel, Steven Shelford, Aleksandrs Slivkins |
| 2015 | COLT | Contextual Dueling Bandits. | Miroslav Dudk, Katja Hofmann, Robert E. Schapire, Aleksandrs Slivkins, Masrour Zoghi |
| 2015 | WWW | Incentivizing High Quality Crowdwork. | Chien-Ju Ho, Aleksandrs Slivkins, Siddharth Suri, Jennifer Wortman Vaughan |
| 2014 | COLT | Robust Multi-objective Learning with Mentor Feedback. | Alekh Agarwal, Ashwinkumar Badanidiyuru, Miroslav Dudk, Robert E. Schapire, Aleksandrs Slivkins |
| 2014 | COLT | Resourceful Contextual Bandits. | Ashwinkumar Badanidiyuru, John Langford, Aleksandrs Slivkins |
| 2014 | HCOMP | Using Worker Quality Scores to Improve Stopping Rules. | Ittai Abraham, Omar Alonso, Vasilis Kandylas, Rajesh Patel, Steven Shelford, Aleksandrs Slivkins |
| 2014 | ICML | One Practical Algorithm for Both Stochastic and Adversarial Bandits. | Yevgeny Seldin, Aleksandrs Slivkins |
| 2013 | COLT | Adaptive Crowdsourcing Algorithms for the Bandit Survey Problem. | Ittai Abraham, Omar Alonso, Vasilis Kandylas, Aleksandrs Slivkins |
| 2013 | FOCS | Bandits with Knapsacks. | Ashwinkumar Badanidiyuru, Robert Kleinberg, Aleksandrs Slivkins |
| 2013 | SODA | Low-distortion Inference of Latent Similarities from a Multiplex Social Network. | Ittai Abraham, Shiri Chechik, David Kempe, Aleksandrs Slivkins |
| 2010 | ICML | Learning optimally diverse rankings over large document collections. | Aleksandrs Slivkins, Filip Radlinski, Sreenivas Gollapudi |
| 2010 | SODA | Sharp Dichotomies for Regret Minimization in Metric Spaces. | Robert Kleinberg, Aleksandrs Slivkins |
| 2008 | COLT | Adapting to a Changing Environment: the Brownian Restless Bandits. | Aleksandrs Slivkins, Eli Upfal |
| 2008 | STOC | Multi-armed bandits in metric spaces. | Robert Kleinberg, Aleksandrs Slivkins, Eli Upfal |
| 2007 | PODC | Towards fast decentralized construction of locality-aware overlay networks. | Aleksandrs Slivkins |
| 2006 | INFOCOM | Oscillations with TCP-Like Flow Control in Networks of Queues. | Matthew Andrews, Aleksandrs Slivkins |
| 2005 | FOCS | Metric Embeddings with Relaxed Guarantees. | Ittai Abraham, Yair Bartal, T.-H. Hubert Chan, Kedar Dhamdhere, Anupam Gupta, Jon M. Kleinberg, Ofer Neiman, Aleksandrs Slivkins |
| 2005 | PODC | Distance estimation and object location via rings of neighbors. | Aleksandrs Slivkins |
| 2005 | SODA | Distributed approaches to triangulation and embedding. | Aleksandrs Slivkins |
| 2005 | SIGCOMM | Meridian: a lightweight network location service without virtual coordinates. | Bernard Wong, Aleksandrs Slivkins, Emin Gn Sirer |
| 2004 | FOCS | Triangulation and Embedding Using Small Sets of Beacons. | Jon M. Kleinberg, Aleksandrs Slivkins, Tom Wexler |
| 2004 | SODA | Network failure detection and graph connectivity. | Jon M. Kleinberg, Mark Sandler, Aleksandrs Slivkins |
| 2003 | ESA | Parameterized Tractability of Edge-Disjoint Paths on Directed Acyclic Graphs. | Aleksandrs Slivkins |