Vahab S. Mirrokni

Orcid: 0000-0001-6705-5629

Affiliations:
  • Google Research, New York City, USA


According to our database1, Vahab S. Mirrokni authored at least 311 papers between 2000 and 2024.

Collaborative distances:

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Bibliography

2024
Auto-Bidding and Auctions in Online Advertising: A Survey.
SIGecom Exch., 2024

Addax: Utilizing Zeroth-Order Gradients to Improve Memory Efficiency and Performance of SGD for Fine-Tuning Language Models.
CoRR, 2024

DiSK: Differentially Private Optimizer with Simplified Kalman Filter for Noise Reduction.
CoRR, 2024

Massively Parallel Minimum Spanning Tree in General Metric Spaces.
CoRR, 2024

Retraining with Predicted Hard Labels Provably Increases Model Accuracy.
CoRR, 2024

MUVERA: Multi-Vector Retrieval via Fixed Dimensional Encodings.
CoRR, 2024

Understanding Transformer Reasoning Capabilities via Graph Algorithms.
CoRR, 2024

Optimal Communication for Classic Functions in the Coordinator Model and Beyond.
CoRR, 2024

SequentialAttention++ for Block Sparsification: Differentiable Pruning Meets Combinatorial Optimization.
CoRR, 2024

SubGen: Token Generation in Sublinear Time and Memory.
CoRR, 2024

Smooth Anonymity for Sparse Graphs.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Mechanism Design for Large Language Models.
Proceedings of the ACM on Web Conference 2024, 2024

Non-uniform Bid-scaling and Equilibria for Different Auctions: An Empirical Study.
Proceedings of the ACM on Web Conference 2024, 2024

Efficiency of the Generalized Second-Price Auction for Value Maximizers.
Proceedings of the ACM on Web Conference 2024, 2024

Individual Welfare Guarantees in the Autobidding World with Machine-learned Advice.
Proceedings of the ACM on Web Conference 2024, 2024

Optimal Communication Bounds for Classic Functions in the Coordinator Model and Beyond.
Proceedings of the 56th Annual ACM Symposium on Theory of Computing, 2024

Massively Parallel Algorithms for High-Dimensional Euclidean Minimum Spanning Tree.
Proceedings of the 2024 ACM-SIAM Symposium on Discrete Algorithms, 2024

PolySketchFormer: Fast Transformers via Sketching Polynomial Kernels.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

PriorBoost: An Adaptive Algorithm for Learning from Aggregate Responses.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

High-Dimensional Geometric Streaming for Nearly Low Rank Data.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Perturb-and-Project: Differentially Private Similarities and Marginals.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

A Field Guide for Pacing Budget and ROS Constraints.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Data-Efficient Learning via Clustering-Based Sensitivity Sampling: Foundation Models and Beyond.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning from Aggregate responses: Instance Level versus Bag Level Loss Functions.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

HyperAttention: Long-context Attention in Near-Linear Time.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

TeraHAC: Hierarchical Agglomerative Clustering of Trillion-Edge Graphs (Abstract).
Proceedings of the 2024 ACM Workshop on Highlights of Parallel Computing, 2024

Optimistic Rates for Learning from Label Proportions.
Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023
TeraHAC: Hierarchical Agglomerative Clustering of Trillion-Edge Graphs.
Proc. ACM Manag. Data, September, 2023

Contextual Bandits with Cross-Learning.
Math. Oper. Res., August, 2023

The Best of Many Worlds: Dual Mirror Descent for Online Allocation Problems.
Oper. Res., January, 2023

Tackling Provably Hard Representative Selection via Graph Neural Networks.
Trans. Mach. Learn. Res., 2023

Measuring Re-identification Risk.
Proc. ACM Manag. Data, 2023

The landscape of the proximal point method for nonconvex-nonconcave minimax optimization.
Math. Program., 2023

Robust Load Balancing with Machine Learned Advice.
J. Mach. Learn. Res., 2023

PolySketchFormer: Fast Transformers via Sketches for Polynomial Kernels.
CoRR, 2023

Causal Inference with Differentially Private (Clustered) Outcomes.
CoRR, 2023

Learning across Data Owners with Joint Differential Privacy.
CoRR, 2023

Learning from Aggregated Data: Curated Bags versus Random Bags.
CoRR, 2023

Robust and differentially private stochastic linear bandits.
CoRR, 2023

Optimal Fully Dynamic k-Center Clustering for Adaptive and Oblivious Adversaries.
CoRR, 2023

Joint Feedback Loop for Spend and Return-On-Spend Constraints.
CoRR, 2023

Autobidding Auctions in the Presence of User Costs.
Proceedings of the ACM Web Conference 2023, 2023

Brief Announcement: Streaming Balanced Clustering.
Proceedings of the 35th ACM Symposium on Parallelism in Algorithms and Architectures, 2023

Optimal Fully Dynamic <i>k</i>-Center Clustering for Adaptive and Oblivious Adversaries.
Proceedings of the 2023 ACM-SIAM Symposium on Discrete Algorithms, 2023

Causal Estimation of User Learning in Personalized Systems.
Proceedings of the 24th ACM Conference on Economics and Computation, 2023

Anonymous Learning via Look-Alike Clustering: A Precise Analysis of Model Generalization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Replicable Clustering.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

k-Means Clustering with Distance-Based Privacy.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Differentially Private Continual Releases of Streaming Frequency Moment Estimations.
Proceedings of the 14th Innovations in Theoretical Computer Science Conference, 2023

Differentially Private Hierarchical Clustering with Provable Approximation Guarantees.
Proceedings of the International Conference on Machine Learning, 2023

Approximately Optimal Core Shapes for Tensor Decompositions.
Proceedings of the International Conference on Machine Learning, 2023

Learning Rate Schedules in the Presence of Distribution Shift.
Proceedings of the International Conference on Machine Learning, 2023

Multi-channel Autobidding with Budget and ROI Constraints.
Proceedings of the International Conference on Machine Learning, 2023

Robust and private stochastic linear bandits.
Proceedings of the International Conference on Machine Learning, 2023

Robust Budget Pacing with a Single Sample.
Proceedings of the International Conference on Machine Learning, 2023

Replicable Bandits.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Sequential Attention for Feature Selection.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Pricing against a Budget and ROI Constrained Buyer.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Product Ranking on Online Platforms.
Manag. Sci., 2022

Fair Resource Allocation in a Volatile Marketplace.
Oper. Res., 2022

Dynamic Double Auctions: Toward First Best.
Oper. Res., 2022

Constant Approximation for Normalized Modularity and Associations Clustering.
CoRR, 2022

Stars: Tera-Scale Graph Building for Clustering and Graph Learning.
CoRR, 2022

Reproducible Bandits.
CoRR, 2022

Fairness in the Autobidding World with Machine-learned Advice.
CoRR, 2022

Efficiency of the First-Price Auction in the Autobidding World.
CoRR, 2022

Smooth Anonymity for Sparse Binary Matrices.
CoRR, 2022

TF-GNN: Graph Neural Networks in TensorFlow.
CoRR, 2022

Improved Approximations for Euclidean k-means and k-median, via Nested Quasi-Independent Sets.
CoRR, 2022

From Online Optimization to PID Controllers: Mirror Descent with Momentum.
CoRR, 2022

Improved approximations for Euclidean <i>k</i>-means and <i>k</i>-median, via nested quasi-independent sets.
Proceedings of the STOC '22: 54th Annual ACM SIGACT Symposium on Theory of Computing, Rome, Italy, June 20, 2022

Almost Tight Approximation Algorithms for Explainable Clustering.
Proceedings of the 2022 ACM-SIAM Symposium on Discrete Algorithms, 2022

Improved Sliding Window Algorithms for Clustering and Coverage via Bucketing-Based Sketches.
Proceedings of the 2022 ACM-SIAM Symposium on Discrete Algorithms, 2022

Massively Parallel and Dynamic Algorithms for Minimum Size Clustering.
Proceedings of the 2022 ACM-SIAM Symposium on Discrete Algorithms, 2022

Design and Analysis of Bipartite Experiments Under a Linear Exposure-response Model.
Proceedings of the EC '22: The 23rd ACM Conference on Economics and Computation, Boulder, CO, USA, July 11, 2022

Optimal Mechanisms for Value Maximizers with Budget Constraints via Target Clipping.
Proceedings of the EC '22: The 23rd ACM Conference on Economics and Computation, Boulder, CO, USA, July 11, 2022

Anonymous Bandits for Multi-User Systems.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Differentially Private Graph Learning via Sensitivity-Bounded Personalized PageRank.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Hierarchical Agglomerative Graph Clustering in Poly-Logarithmic Depth.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Posted Pricing and Dynamic Prior-independent Mechanisms with Value Maximizers.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Near-Optimal Private and Scalable $k$-Clustering.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Stars: Tera-Scale Graph Building for Clustering and Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Cluster Randomized Designs for One-Sided Bipartite Experiments.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Scalable Differentially Private Clustering via Hierarchically Separated Trees.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Tight and Robust Private Mean Estimation with Few Users.
Proceedings of the International Conference on Machine Learning, 2022

Massively Parallel k-Means Clustering for Perturbation Resilient Instances.
Proceedings of the International Conference on Machine Learning, 2022

Hierarchical Clustering in Graph Streams: Single-Pass Algorithms and Space Lower Bounds.
Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

Limiting Behaviors of Nonconvex-Nonconcave Minimax Optimization via Continuous-Time Systems.
Proceedings of the International Conference on Algorithmic Learning Theory, 29 March, 2022

Label differential privacy via clustering.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Massively Parallel Computation via Remote Memory Access.
ACM Trans. Parallel Comput., 2021

Scalable Community Detection via Parallel Correlation Clustering.
Proc. VLDB Endow., 2021

Deals or No Deals: Contract Design for Online Advertising.
Oper. Res., 2021

Dynamic Incentive-Aware Learning: Robust Pricing in Contextual Auctions.
Oper. Res., 2021

Budget-Management Strategies in Repeated Auctions.
Oper. Res., 2021

Optimal Fully Dynamic k-Centers Clustering.
CoRR, 2021

Bidding and Pricing in Budget and ROI Constrained Markets.
CoRR, 2021

Batched Neural Bandits.
CoRR, 2021

Towards Efficient Auctions in an Auto-bidding World.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Non-Excludable Dynamic Mechanism Design.
Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms, 2021

Non-Clairvoyant Dynamic Mechanism Design with Budget Constraints and Beyond.
Proceedings of the EC '21: The 22nd ACM Conference on Economics and Computation, 2021

The Landscape of Auto-bidding Auctions: Value versus Utility Maximization.
Proceedings of the EC '21: The 22nd ACM Conference on Economics and Computation, 2021

Robust Repeated First Price Auctions.
Proceedings of the EC '21: The 22nd ACM Conference on Economics and Computation, 2021

Parallelizing Thompson Sampling.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Synthetic Design: An Optimization Approach to Experimental Design with Synthetic Controls.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Robust Auction Design in the Auto-bidding World.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Boosted Second Price Auctions: Revenue Optimization for Heterogeneous Bidders.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Clustering for Private Interest-based Advertising.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Hierarchical Agglomerative Graph Clustering in Nearly-Linear Time.
Proceedings of the 38th International Conference on Machine Learning, 2021

Revenue-Incentive Tradeoffs in Dynamic Reserve Pricing.
Proceedings of the 38th International Conference on Machine Learning, 2021

Regularized Online Allocation Problems: Fairness and Beyond.
Proceedings of the 38th International Conference on Machine Learning, 2021

Feature Cross Search via Submodular Optimization.
Proceedings of the 29th Annual European Symposium on Algorithms, 2021

Adaptivity in Adaptive Submodularity.
Proceedings of the Conference on Learning Theory, 2021

Almost Linear Time Density Level Set Estimation via DBSCAN.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Regret Bounds for Batched Bandits.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Extreme k-Center Clustering.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Parallel Graph Algorithms in Constant Adaptive Rounds: Theory meets Practice.
Proc. VLDB Endow., 2020

Clinching auctions with online supply.
Games Econ. Behav., 2020

The Landscape of Nonconvex-Nonconcave Minimax Optimization.
CoRR, 2020

Contextual Reserve Price Optimization in Auctions.
CoRR, 2020

A Data-Driven Metric of Incentive Compatibility.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Fully Dynamic Matching: Beating 2-Approximation in Δ<sup><i>ϵ</i></sup> Update Time.
Proceedings of the 2020 ACM-SIAM Symposium on Discrete Algorithms, 2020

Budget-Constrained Incentive Compatibility for Stationary Mechanisms.
Proceedings of the EC '20: The 21st ACM Conference on Economics and Computation, 2020

Contextual Reserve Price Optimization in Auctions via Mixed Integer Programming.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Optimal Approximation - Smoothness Tradeoffs for Soft-Max Functions.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Smoothly Bounding User Contributions in Differential Privacy.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Bandits with Adversarial Scaling.
Proceedings of the 37th International Conference on Machine Learning, 2020

Robust Pricing in Dynamic Mechanism Design.
Proceedings of the 37th International Conference on Machine Learning, 2020

Dual Mirror Descent for Online Allocation Problems.
Proceedings of the 37th International Conference on Machine Learning, 2020

Accelerating Gradient Boosting Machines.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Cache-aware load balancing of data center applications.
Proc. VLDB Endow., 2019

Overcommitment in Cloud Services: Bin Packing with Chance Constraints.
Manag. Sci., 2019

Concise Bid Optimization Strategies with Multiple Budget Constraints.
Manag. Sci., 2019

Fully Dynamic Matching: Beating 2-Approximation in Δ<sup>ε</sup> Update Time.
CoRR, 2019

Locality-Sensitive Hashing for f-Divergences: Mutual Information Loss and Beyond.
CoRR, 2019

Batched Multi-Armed Bandits with Optimal Regret.
CoRR, 2019

Streaming Balanced Clustering.
CoRR, 2019

Dynamic First Price Auctions Robust to Heterogeneous Buyers.
CoRR, 2019

Accelerating Gradient Boosting Machine.
CoRR, 2019

Distributed Balanced Partitioning via Linear Embedding.
Algorithms, 2019

On-Device Algorithms for Public-Private Data with Absolute Privacy.
Proceedings of the World Wide Web Conference, 2019

Dynamic Algorithms for the Massively Parallel Computation Model.
Proceedings of the 31st ACM on Symposium on Parallelism in Algorithms and Architectures, 2019

Scalable Diversity Maximization via Small-size Composable Core-sets (Brief Announcement).
Proceedings of the 31st ACM on Symposium on Parallelism in Algorithms and Architectures, 2019

Submodular Maximization with Nearly Optimal Approximation, Adaptivity and Query Complexity.
Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete Algorithms, 2019

Dynamic Double Auctions: Towards First Best.
Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete Algorithms, 2019

Coresets Meet EDCS: Algorithms for Matching and Vertex Cover on Massive Graphs.
Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete Algorithms, 2019

Variance Reduction in Bipartite Experiments through Correlation Clustering.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A Robust Non-Clairvoyant Dynamic Mechanism for Contextual Auctions.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Locality-Sensitive Hashing for f-Divergences: Mutual Information Loss and Beyond.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Randomized Experimental Design via Geographic Clustering.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Preferred Deals in General Environments.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Non-monotone Submodular Maximization with Nearly Optimal Adaptivity and Query Complexity.
Proceedings of the 36th International Conference on Machine Learning, 2019

Categorical Feature Compression via Submodular Optimization.
Proceedings of the 36th International Conference on Machine Learning, 2019

Distributed Weighted Matching via Randomized Composable Coresets.
Proceedings of the 36th International Conference on Machine Learning, 2019

Near-Optimal Massively Parallel Graph Connectivity.
Proceedings of the 60th IEEE Annual Symposium on Foundations of Computer Science, 2019

Optimal Dynamic Auctions Are Virtual Welfare Maximizers.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Pareto Efficient Auctions with Interest Rates.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Allocation with Traffic Spikes: Mixing Adversarial and Stochastic Models.
ACM Trans. Economics and Comput., 2018

Online Submodular Welfare Maximization: Greedy Beats 1/2 in Random Order.
SIAM J. Comput., 2018

Dynamic Mechanisms with Martingale Utilities.
Manag. Sci., 2018

Approximate Leave-One-Out for High-Dimensional Non-Differentiable Learning Problems.
CoRR, 2018

Massively Parallel Dynamic Programming on Trees.
CoRR, 2018

Non-monotone Submodular Maximization with Nearly Optimal Adaptivity Complexity.
CoRR, 2018

Connected Components at Scale via Local Contractions.
CoRR, 2018

Submodular Maximization with Optimal Approximation, Adaptivity and Query Complexity.
CoRR, 2018

Dynamic Mechanism Design in the Field.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Incentive-Aware Learning for Large Markets.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Stochastic bandits robust to adversarial corruptions.
Proceedings of the 50th Annual ACM SIGACT Symposium on Theory of Computing, 2018

Consistent Hashing with Bounded Loads.
Proceedings of the Twenty-Ninth Annual ACM-SIAM Symposium on Discrete Algorithms, 2018

Non-clairvoyant Dynamic Mechanism Design.
Proceedings of the 2018 ACM Conference on Economics and Computation, 2018

Robust Repeated Auctions under Heterogeneous Buyer Behavior.
Proceedings of the 2018 ACM Conference on Economics and Computation, 2018

Optimizing Cluster-based Randomized Experiments under Monotonicity.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Optimal Distributed Submodular Optimization via Sketching.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Approximate Leave-One-Out for Fast Parameter Tuning in High Dimensions.
Proceedings of the 35th International Conference on Machine Learning, 2018

Accelerating Greedy Coordinate Descent Methods.
Proceedings of the 35th International Conference on Machine Learning, 2018

Parallel and Streaming Algorithms for K-Core Decomposition.
Proceedings of the 35th International Conference on Machine Learning, 2018

Proportional Allocation: Simple, Distributed, and Diverse Matching with High Entropy.
Proceedings of the 35th International Conference on Machine Learning, 2018

Brief Announcement: MapReduce Algorithms for Massive Trees.
Proceedings of the 45th International Colloquium on Automata, Languages, and Programming, 2018

2017
ASYMP: Fault-tolerant Mining of Massive Graphs.
CoRR, 2017

Deals or No Deals: Contract Design for Online Advertising.
Proceedings of the 26th International Conference on World Wide Web, 2017

Bicriteria Distributed Submodular Maximization in a Few Rounds.
Proceedings of the 29th ACM Symposium on Parallelism in Algorithms and Architectures, 2017

Almost Optimal Streaming Algorithms for Coverage Problems.
Proceedings of the 29th ACM Symposium on Parallelism in Algorithms and Architectures, 2017

Online Optimization for Markets and the Cloud: Theory and Practice.
Proceedings of the 2017 ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, Urbana-Champaign, IL, USA, June 05, 2017

Affinity Clustering: Hierarchical Clustering at Scale.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Dynamic Revenue Sharing.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Tight Bounds for Approximate Carathéodory and Beyond.
Proceedings of the 34th International Conference on Machine Learning, 2017

Scalable Feature Selection via Distributed Diversity Maximization.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

A Study of Compact Reserve Pricing Languages.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Market Games and Content Distribution.
Encyclopedia of Algorithms, 2016

Whole-Page Optimization and Submodular Welfare Maximization with Online Bidders.
ACM Trans. Economics and Comput., 2016

Optimizing Display Advertising Markets: Challenges and Directions.
IEEE Internet Comput., 2016

GeoCUTS: Geographic Clustering Using Travel Statistics.
CoRR, 2016

Optimal dynamic mechanisms with ex-post IR via bank accounts.
CoRR, 2016

Distributed Coverage Maximization via Sketching.
CoRR, 2016

Expanders via Local Edge Flips.
Proceedings of the Twenty-Seventh Annual ACM-SIAM Symposium on Discrete Algorithms, 2016

Bi-Objective Online Matching and Submodular Allocations.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Linear Relaxations for Finding Diverse Elements in Metric Spaces.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Dynamic Auctions with Bank Accounts.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Greedy Column Subset Selection: New Bounds and Distributed Algorithms.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Reservation Exchange Markets for Internet Advertising.
Proceedings of the 43rd International Colloquium on Automata, Languages, and Programming, 2016

2015
Dynamic Coordination Mechanisms: [Extended Abstract].
SIGMETRICS Perform. Evaluation Rev., 2015

Ego-net Community Mining Applied to Friend Suggestion.
Proc. VLDB Endow., 2015

Polyhedral Clinching Auctions and the AdWords Polytope.
J. ACM, 2015

Optimal Coordination Mechanisms for Unrelated Machine Scheduling.
Oper. Res., 2015

Decentralized utilitarian mechanisms for scheduling games.
Games Econ. Behav., 2015

Distributed Graph Algorithmics: Theory and Practice.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Randomized Composable Core-sets for Distributed Submodular Maximization.
Proceedings of the Forty-Seventh Annual ACM on Symposium on Theory of Computing, 2015

Robust Price of Anarchy Bounds via LP and Fenchel Duality.
Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms, 2015

Online Allocation with Traffic Spikes: Mixing Adversarial and Stochastic Models.
Proceedings of the Sixteenth ACM Conference on Economics and Computation, 2015

Efficient Algorithms for Public-Private Social Networks.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Robust Hierarchical k-Center Clustering.
Proceedings of the 2015 Conference on Innovations in Theoretical Computer Science, 2015

Automated Decomposition of Build Targets.
Proceedings of the 37th IEEE/ACM International Conference on Software Engineering, 2015

2014
On non-progressive spread of influence through social networks.
Theor. Comput. Sci., 2014

Yield Optimization of Display Advertising with Ad Exchange.
Manag. Sci., 2014

On the Advantage of Overlapping Clusters for Minimizing Conductance.
Algorithmica, 2014

Optimal revenue-sharing double auctions with applications to ad exchanges.
Proceedings of the 23rd International World Wide Web Conference, 2014

Reduce and aggregate: similarity ranking in multi-categorical bipartite graphs.
Proceedings of the 23rd International World Wide Web Conference, 2014

Partner tiering in display advertising.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Clinching auctions beyond hard budget constraints.
Proceedings of the ACM Conference on Economics and Computation, 2014

Multiplicative bidding in online advertising.
Proceedings of the ACM Conference on Economics and Computation, 2014

Composable core-sets for diversity and coverage maximization.
Proceedings of the 33rd ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, 2014

Distributed Balanced Clustering via Mapping Coresets.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Coordination Mechanisms for Selfish Routing over Time on a Tree.
Proceedings of the Automata, Languages, and Programming - 41st International Colloquium, 2014

Connected Components in MapReduce and Beyond.
Proceedings of the ACM Symposium on Cloud Computing, 2014

2013
Optimal Auctions with Positive Network Externalities.
ACM Trans. Economics and Comput., 2013

Equilibrium pricing with positive externalities.
Theor. Comput. Sci., 2013

Two-stage Robust Network Design with Exponential Scenarios.
Algorithmica, 2013

PASS Approximation: A Framework for Analyzing and Designing Heuristics.
Algorithmica, 2013

Bicriteria Online Matching: Maximizing Weight and Cardinality.
Proceedings of the Web and Internet Economics - 9th International Conference, 2013

Clinching Auction with Online Supply.
Proceedings of the Twenty-Fourth Annual ACM-SIAM Symposium on Discrete Algorithms, 2013

Diversity maximization under matroid constraints.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

A Local Algorithm for Finding Well-Connected Clusters.
Proceedings of the 30th International Conference on Machine Learning, 2013

2012
Convergence and approximation in potential games.
Theor. Comput. Sci., 2012

How to approximate optimal auctions.
SIGecom Exch., 2012

On the Implications of Lookahead Search in Game Playing
CoRR, 2012

Overlapping clusters for distributed computation.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

On Fixed-Price Marketing for Goods with Positive Network Externalities.
Proceedings of the Internet and Network Economics - 8th International Workshop, 2012

Budget Optimization for Online Campaigns with Positive Carryover Effects.
Proceedings of the Internet and Network Economics - 8th International Workshop, 2012

Simultaneous approximations for adversarial and stochastic online budgeted allocation.
Proceedings of the Twenty-Third Annual ACM-SIAM Symposium on Discrete Algorithms, 2012

A Theoretical Examination of Practical Game Playing: Lookahead Search.
Proceedings of the Algorithmic Game Theory - 5th International Symposium, 2012

Online allocation of display ads with smooth delivery.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

2011
Competitive routing over time.
Theor. Comput. Sci., 2011

Maximizing Non-monotone Submodular Functions.
SIAM J. Comput., 2011

Uncoordinated Two-Sided Matching Markets.
SIAM J. Comput., 2011

Tight Approximation Algorithms for Maximum Separable Assignment Problems.
Math. Oper. Res., 2011

Approximating Minimum-Power Degree and Connectivity Problems.
Algorithmica, 2011

Permutation Betting Markets: Singleton Betting with Extra Information.
Algorithmica, 2011

Online Stochastic Weighted Matching: Improved Approximation Algorithms.
Proceedings of the Internet and Network Economics - 7th International Workshop, 2011

Inner product spaces for MinSum coordination mechanisms.
Proceedings of the 43rd ACM Symposium on Theory of Computing, 2011

Large-Scale Community Detection on YouTube for Topic Discovery and Exploration.
Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011

2010
Maximizing Nonmonotone Submodular Functions under Matroid or Knapsack Constraints.
SIAM J. Discret. Math., 2010

On spectrum sharing games.
Distributed Comput., 2010

Coordination Mechanisms for Weighted Sum of Completion Times in Machine Scheduling
CoRR, 2010

Online Stochastic Ad Allocation: Efficiency and Fairness
CoRR, 2010

Secure Overlay Network Design.
Algorithmica, 2010

Optimal marketing and pricing over social networks.
Proceedings of the 19th International Conference on World Wide Web, 2010

Mining advertiser-specific user behavior using adfactors.
Proceedings of the 19th International Conference on World Wide Web, 2010

Equilibrium Pricing with Positive Externalities (Extended Abstract).
Proceedings of the Internet and Network Economics - 6th International Workshop, 2010

Optimal Iterative Pricing over Social Networks (Extended Abstract).
Proceedings of the Internet and Network Economics - 6th International Workshop, 2010

Auctions with intermediaries: extended abstract.
Proceedings of the Proceedings 11th ACM Conference on Electronic Commerce (EC-2010), 2010

Quasi-Proportional Mechanisms: Prior-Free Revenue Maximization.
Proceedings of the LATIN 2010: Theoretical Informatics, 2010

Online Stochastic Packing Applied to Display Ad Allocation.
Proceedings of the Algorithms, 2010

2009
Coordination mechanisms for selfish scheduling.
Theor. Comput. Sci., 2009

Bid optimization for broad match ad auctions.
Proceedings of the 18th International Conference on World Wide Web, 2009

Online Ad Assignment with Free Disposal.
Proceedings of the Internet and Network Economics, 5th International Workshop, 2009

Non-monotone submodular maximization under matroid and knapsack constraints.
Proceedings of the 41st Annual ACM Symposium on Theory of Computing, 2009

Approximating submodular functions everywhere.
Proceedings of the Twentieth Annual ACM-SIAM Symposium on Discrete Algorithms, 2009

On the complexity of nash dynamics and sink equilibria.
Proceedings of the Proceedings 10th ACM Conference on Electronic Commerce (EC-2009), 2009

Tutorial summary: Convergence of natural dynamics to equilibria.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Online Stochastic Matching: Beating 1-1/e.
Proceedings of the 50th Annual IEEE Symposium on Foundations of Computer Science, 2009

PASS Approximation.
Proceedings of the Approximation, 2009

2008
Market Games and Content Distribution.
Proceedings of the Encyclopedia of Algorithms - 2008 Edition, 2008

Limitations of cross-monotonic cost-sharing schemes.
ACM Trans. Algorithms, 2008

Traffic Engineering of Management Flows by Link Augmentations on Confluent Trees.
Theory Comput. Syst., 2008

Local Computation of PageRank Contributions.
Internet Math., 2008

A Unified Approach to Congestion Games and Two-Sided Markets.
Internet Math., 2008

Optimal marketing strategies over social networks.
Proceedings of the 17th International Conference on World Wide Web, 2008

A combinatorial allocation mechanism with penalties for banner advertising.
Proceedings of the 17th International Conference on World Wide Web, 2008

Trust-based recommendation systems: an axiomatic approach.
Proceedings of the 17th International Conference on World Wide Web, 2008

(Almost) optimal coordination mechanisms for unrelated machine scheduling.
Proceedings of the Nineteenth Annual ACM-SIAM Symposium on Discrete Algorithms, 2008

Tight information-theoretic lower bounds for welfare maximization in combinatorial auctions.
Proceedings of the Proceedings 9th ACM Conference on Electronic Commerce (EC-2008), 2008

Fast convergence to nearly optimal solutions in potential games.
Proceedings of the Proceedings 9th ACM Conference on Electronic Commerce (EC-2008), 2008

On the Stability of Web Crawling and Web Search.
Proceedings of the Algorithms and Computation, 19th International Symposium, 2008

Robust PageRank and locally computable spam detection features.
Proceedings of the AIRWeb 2008, 2008

2007
Power optimization in fault-tolerant topology control algorithms for wireless multi-hop networks.
IEEE/ACM Trans. Netw., 2007

Cell Breathing in Wireless LANs: Algorithms and Evaluation.
IEEE Trans. Mob. Comput., 2007

Subjective-cost policy routing.
Theor. Comput. Sci., 2007

Power optimization for connectivity problems.
Math. Program., 2007

The Myth of the Folk Theorem.
Electron. Colloquium Comput. Complex., 2007

A Recommender System Based on Local Random Walks and Spectral Methods.
Proceedings of the Advances in Web Mining and Web Usage Analysis, 2007

Robust Combinatorial Optimization with Exponential Scenarios.
Proceedings of the Integer Programming and Combinatorial Optimization, 2007

2006
Fault-Tolerant and 3-Dimensional Distributed Topology Control Algorithms in Wireless Multi-hop Networks.
Wirel. Networks, 2006

Market sharing games applied to content distribution in ad hoc networks.
IEEE J. Sel. Areas Commun., 2006

A relation between choosability and uniquely list colorability.
J. Comb. Theory B, 2006

Assignment Problems in Rental Markets.
Proceedings of the Internet and Network Economics, Second International Workshop, 2006

Tight approximation algorithms for maximum general assignment problems.
Proceedings of the Seventeenth Annual ACM-SIAM Symposium on Discrete Algorithms, 2006

Bandwidth Sharing Network Design for Multi-Class Traffic.
Proceedings of the INFOCOM 2006. 25th IEEE International Conference on Computer Communications, 2006

2005
Cycle Cover with Short Cycles.
Proceedings of the STACS 2005, 2005

Sink Equilibria and Convergence.
Proceedings of the 46th Annual IEEE Symposium on Foundations of Computer Science (FOCS 2005), 2005

2004
On the costs and benefits of procrastination: approximation algorithms for stochastic combinatorial optimization problems.
Proceedings of the Fifteenth Annual ACM-SIAM Symposium on Discrete Algorithms, 2004

A Simple Polynomial Time Framework For Reduced Path Decomposition in Multi-Path Routing.
Proceedings of the Proceedings IEEE INFOCOM 2004, 2004

Distributed Network Monitoring for Evolving IP Networks.
Proceedings of the 24th International Conference on Distributed Computing Systems (ICDCS 2004), 2004

Locality-sensitive hashing scheme based on p-stable distributions.
Proceedings of the 20th ACM Symposium on Computational Geometry, 2004

Convergence Issues in Competitive Games.
Proceedings of the Approximation, 2004

2003
The facility location problem with general cost functions.
Networks, 2003

2002
Length-constrained path-matchings in graphs.
Networks, 2002

RoboCup-2001: The Fifth Robotic Soccer World Championships.
AI Mag., 2002

2001
K<sub>r</sub>-Free Uniquely Vertex Colorable Graphs with Minimum Possible Edges.
J. Comb. Theory B, 2001

A Fast Vision System for Middle Size Robots in RoboCup.
Proceedings of the RoboCup 2001: Robot Soccer World Cup V, 2001

Basic Requirements for a Teamwork in Middle Size RoboCup.
Proceedings of the RoboCup 2001: Robot Soccer World Cup V, 2001

2000
On the simultaneous edge-coloring conjecture.
Discret. Math., 2000



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