Vahab Mirrokni
Identifiers
- name variant Vahab Mirrokni 0.60 · backfill
Papers (133)
- Geometric Signatures of Reasoning: A Spectral Perspective on Task Hardness cs.LG · 2026 · author #4
- Towards Automating Scientific Review with Google's Paper Assistant Tool cs.LG · 2026 · author #6
- Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories cs.LG · 2026 · author #3
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities cs.CL · 2025 · author #3100
- TurboQuant: Online Vector Quantization with Near-optimal Distortion Rate cs.LG · 2025 · author #4
- Gemma 3 Technical Report cs.CL · 2025 · author #188
- Titans: Learning to Memorize at Test Time cs.LG · 2024 · author #3
- Auto-bidding and Auctions in Online Advertising: A Survey cs.GT · 2024 · author #13
- Perturb-and-Project: Differentially Private Similarities and Marginals cs.LG · 2024 · author #4
- High-Dimensional Geometric Streaming for Nearly Low Rank Data cs.DS · 2024 · author #2
- Optimistic Rates for Learning from Label Proportions cs.LG · 2024 · author #4
- MUVERA: Multi-Vector Retrieval via Fixed Dimensional Encodings cs.DS · 2024 · author #5
- Understanding Transformer Reasoning Capabilities via Graph Algorithms cs.LG · 2024 · author #8
- Optimal Communication for Classic Functions in the Coordinator Model and Beyond cs.DS · 2024 · author #3
- Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context cs.CL · 2024 · author #666
- Data-Efficient Learning via Clustering-Based Sensitivity Sampling: Foundation Models and Beyond cs.LG · 2024 · author #5
- SubGen: Token Generation in Sublinear Time and Memory cs.LG · 2024 · author #3
- PriorBoost: An Adaptive Algorithm for Learning from Aggregate Responses cs.LG · 2024 · author #3
- Learning from Aggregate responses: Instance Level versus Bag Level Loss Functions cs.LG · 2024 · author #3
- Non-uniform Bid-scaling and Equilibria for Different Auctions: An Empirical Study cs.GT · 2023 · author #3
- Mechanism Design for Large Language Models cs.GT · 2023 · author #2
- HyperAttention: Long-context Attention in Near-Linear Time cs.LG · 2023 · author #4
- Anonymous Learning via Look-Alike Clustering: A Precise Analysis of Model Generalization cs.LG · 2023 · author #2
- Efficiency of the Generalized Second-Price Auction for Value Maximizers cs.GT · 2023 · author #4
- PolySketchFormer: Fast Transformers via Sketching Polynomial Kernels cs.LG · 2023 · author #2
- TeraHAC: Hierarchical Agglomerative Clustering of Trillion-Edge Graphs cs.DS · 2023 · author #4
- Massively Parallel Algorithms for High-Dimensional Euclidean Minimum Spanning Tree cs.DS · 2023 · author #2
- Causal Estimation of User Learning in Personalized Systems stat.ME · 2023 · author #5
- Learning across Data Owners with Joint Differential Privacy cs.LG · 2023 · author #6
- Learning from Aggregated Data: Curated Bags versus Random Bags cs.LG · 2023 · author #4
- Robust and differentially private stochastic linear bandits cs.LG · 2023 · author #3
- Measuring Re-identification Risk cs.CR · 2023 · author #8
- Learning Rate Schedules in the Presence of Distribution Shift cs.LG · 2023 · author #3
- Optimal Fully Dynamic $k$-Center Clustering for Adaptive and Oblivious Adversaries cs.DS · 2023 · author #6
- A Field Guide for Pacing Budget and ROS Constraints cs.GT · 2023 · author #5
- Approximately Optimal Core Shapes for Tensor Decompositions cs.DS · 2023 · author #4
- Robust Budget Pacing with a Single Sample cs.LG · 2023 · author #3
- Multi-channel Autobidding with Budget and ROI Constraints cs.GT · 2023 · author #5
- Autobidding Auctions in the Presence of User Costs cs.GT · 2023 · author #3
- Differentially-Private Hierarchical Clustering with Provable Approximation Guarantees cs.LG · 2023 · author #5
- Differentially Private Continual Releases of Streaming Frequency Moment Estimations cs.DS · 2023 · author #4
- Constant Approximation for Normalized Modularity and Associations Clustering cs.DS · 2022 · author #2
- Stars: Tera-Scale Graph Building for Clustering and Graph Learning cs.LG · 2022 · author #4
- Cluster Randomized Designs for One-Sided Bipartite Experiments stat.ME · 2022 · author #2
- Anonymous Bandits for Multi-User Systems cs.LG · 2022 · author #2
- Replicable Bandits cs.LG · 2022 · author #5
- Sequential Attention for Feature Selection cs.LG · 2022 · author #6
- Individual Welfare Guarantees in the Autobidding World with Machine-learned Advice cs.GT · 2022 · author #5
- Efficiency of the First-Price Auction in the Autobidding World cs.GT · 2022 · author #3
- Differentially Private Graph Learning via Sensitivity-Bounded Personalized PageRank cs.CR · 2022 · author #2
- Smooth Anonymity for Sparse Graphs cs.CR · 2022 · author #3
- TF-GNN: Graph Neural Networks in TensorFlow cs.LG · 2022 · author #19
- Scalable Differentially Private Clustering via Hierarchically Separated Trees cs.DS · 2022 · author #4
- Hierarchical Clustering in Graph Streams: Single-Pass Algorithms and Space Lower Bounds cs.DS · 2022 · author #4
- Tackling Provably Hard Representative Selection via Graph Neural Networks cs.LG · 2022 · author #7
- Improved Approximations for Euclidean $k$-means and $k$-median, via Nested Quasi-Independent Sets cs.DS · 2022 · author #3
- Analysis of Dual-Based PID Controllers through Convolutional Mirror Descent math.OC · 2022 · author #3
- Optimal Fully Dynamic $k$-Centers Clustering cs.DS · 2021 · author #4
- Synthetic Design: An Optimization Approach to Experimental Design with Synthetic Controls stat.ME · 2021 · author #6
- Robust Auction Design in the Auto-bidding World cs.GT · 2021 · author #4
- Improved Sliding Window Algorithms for Clustering and Coverage via Bucketing-Based Sketches cs.DS · 2021 · author #3
- Tight and Robust Private Mean Estimation with Few Users cs.DS · 2021 · author #2
- Label differential privacy via clustering cs.LG · 2021 · author #2
- Scalable Community Detection via Parallel Correlation Clustering cs.SI · 2021 · author #5
- Learning to Price against a Budget and ROI Constrained Buyer cs.GT · 2021 · author #4
- Almost Tight Approximation Algorithms for Explainable Clustering cs.LG · 2021 · author #2
- Hierarchical Agglomerative Graph Clustering in Nearly-Linear Time cs.DS · 2021 · author #4
- Massively Parallel and Dynamic Algorithms for Minimum Size Clustering cs.DS · 2021 · author #3
- Parallelizing Thompson Sampling cs.LG · 2021 · author #2
- Towards Efficient Auctions in an Auto-bidding World cs.GT · 2021 · author #3
- Design and Analysis of Bipartite Experiments under a Linear Exposure-Response Model stat.ME · 2021 · author #4
- Batched Neural Bandits cs.LG · 2021 · author #4
- The Best of Many Worlds: Dual Mirror Descent for Online Allocation Problems cs.DS · 2020 · author #3
- Limiting Behaviors of Nonconvex-Nonconcave Minimax Optimization via Continuous-Time Systems math.OC · 2020 · author #4
- Causal Inference with Bipartite Designs stat.ME · 2020 · author #5
- Parallel Graph Algorithms in Constant Adaptive Rounds: Theory meets Practice cs.DC · 2020 · author #5
- Regularized Online Allocation Problems: Fairness and Beyond math.OC · 2020 · author #3
- The Landscape of the Proximal Point Method for Nonconvex-Nonconcave Minimax Optimization math.OC · 2020 · author #4
- Bandits with adversarial scaling cs.LG · 2020 · author #2
- Dynamic Incentive-aware Learning: Robust Pricing in Contextual Auctions cs.LG · 2020 · author #3
- Dual Mirror Descent for Online Allocation Problems math.OC · 2020 · author #3
- Contextual Reserve Price Optimization in Auctions via Mixed-Integer Programming math.OC · 2020 · author #4
- Adaptivity in Adaptive Submodularity cs.LG · 2019 · author #3
- Fully Dynamic Matching: Beating 2-Approximation in $\Delta^\epsilon$ Update Time cs.DS · 2019 · author #3
- Near-Optimal Massively Parallel Graph Connectivity cs.DS · 2019 · author #5
- Regret Bounds for Batched Bandits cs.DS · 2019 · author #4
- Streaming Balanced Clustering cs.DS · 2019 · author #2
- Dynamic First Price Auctions Robust to Heterogeneous Buyers cs.GT · 2019 · author #3
- Distributed Weighted Matching via Randomized Composable Coresets cs.DC · 2019 · author #3
- Massively Parallel Computation via Remote Memory Access cs.DC · 2019 · author #6
- Accelerating Gradient Boosting Machine cs.LG · 2019 · author #4
- Optimal Dynamic Auctions are Virtual Welfare Maximizers cs.GT · 2018 · author #1
- Approximate Leave-One-Out for High-Dimensional Non-Differentiable Learning Problems cs.LG · 2018 · author #5
- Contextual Bandits with Cross-learning cs.LG · 2018 · author #4
- Massively Parallel Dynamic Programming on Trees cs.DS · 2018 · author #5
- Non-monotone Submodular Maximization with Nearly Optimal Adaptivity and Query Complexity cs.DS · 2018 · author #2
- Parallel and Streaming Algorithms for K-Core Decomposition cs.DS · 2018 · author #3
- Connected Components at Scale via Local Contractions cs.DC · 2018 · author #2
- Submodular Maximization with Nearly Optimal Approximation, Adaptivity and Query Complexity cs.DS · 2018 · author #2
- Approximate Leave-One-Out for Fast Parameter Tuning in High Dimensions stat.ML · 2018 · author #5
- Accelerating Greedy Coordinate Descent Methods math.OC · 2018 · author #3
- Stochastic bandits robust to adversarial corruptions cs.LG · 2018 · author #2
- Optimizing cluster-based randomized experiments under a monotonicity assumption stat.ME · 2018 · author #3
- Robust Repeated Auctions under Heterogeneous Buyer Behavior cs.GT · 2018 · author #3
- ASYMP: Fault-tolerant Mining of Massive Graphs cs.DC · 2017 · author #3
- Online Submodular Welfare Maximization: Greedy Beats 1/2 in Random Order cs.DS · 2017 · author #2
- Online Allocation with Traffic Spikes: Mixing Adversarial and Stochastic Models cs.DS · 2017 · author #3
- Coresets Meet EDCS: Algorithms for Matching and Vertex Cover on Massive Graphs cs.DS · 2017 · author #4
- Overcommitment in Cloud Services -- Bin packing with Chance Constraints cs.DS · 2017 · author #3
- Matroids Hitting Sets and Unsupervised Dependency Grammar Induction cs.DM · 2017 · author #2
- Distributed Coverage Maximization via Sketching cs.DS · 2016 · author #3
- Randomized Experimental Design via Geographic Clustering cs.SI · 2016 · author #5
- Almost Optimal Streaming Algorithms for Coverage Problems cs.DS · 2016 · author #3
- Consistent Hashing with Bounded Loads cs.DS · 2016 · author #1
- Optimal dynamic mechanisms with ex-post IR via bank accounts cs.GT · 2016 · author #1
- Greedy Column Subset Selection: New Bounds and Distributed Algorithms cs.DS · 2016 · author #4
- Tight Bounds for Approximate Carath\'eodory and Beyond cs.DS · 2015 · author #1
- Distributed Balanced Partitioning via Linear Embedding cs.DC · 2015 · author #3
- Expanders via Local Edge Flips cs.DS · 2015 · author #4
- Randomized Composable Core-sets for Distributed Submodular Maximization cs.DS · 2015 · author #1
- Multiplicative Bidding in Online Advertising cs.DS · 2014 · author #3
- Clinching Auctions Beyond Hard Budget Constraints cs.GT · 2014 · author #2
- Local Graph Clustering Beyond Cheeger's Inequality cs.DS · 2013 · author #3
- Clinching Auctions with Online Supply cs.GT · 2012 · author #2
- On the Implications of Lookahead Search in Game Playing cs.GT · 2012 · author #1
- Polyhedral Clinching Auctions and the Adwords Polytope cs.GT · 2012 · author #2
- On the Non-Progressive Spread of Influence through Social Networks cs.SI · 2011 · author #5
- Yield Optimization of Display Advertising with Ad Exchange math.OC · 2011 · author #3
- Quasi-Proportional Mechanisms: Prior-free Revenue Maximization cs.GT · 2009 · author #1
- Online Stochastic Matching: Beating 1-1/e cs.DS · 2009 · author #3
- On the complexity of Nash dynamics and Sink Equilibria cs.GT · 2009 · author #1
- Non-monotone submodular maximization under matroid and knapsack constraints cs.CC · 2009 · author #2
- Bid Optimization in Broad-Match Ad auctions cs.GT · 2009 · author #3
Mentions
- 2408.07685 #13 · arxiv_oai · confidence 0.70 Vahab Mirrokni
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Frequent Coauthors
- Hossein Esfandiari 24 shared papers
- Peilin Zhong 14 shared papers
- Haihao Lu 13 shared papers
- MohammadHossein Bateni 11 shared papers
- Alessandro Epasto 10 shared papers
- Jakub {\L}\k{a}cki 10 shared papers
- Jieming Mao 10 shared papers
- Renato Paes Leme 10 shared papers
- Song Zuo 10 shared papers
- Jean Pouget-Abadie 9 shared papers
- Yuan Deng 9 shared papers
- Adel Javanmard 8 shared papers
- Amin Karbasi 8 shared papers
- Morteza Zadimoghaddam 8 shared papers
- Rajesh Jayaram 8 shared papers
- Anton Tsitsulin 7 shared papers
- Laxman Dhulipala 7 shared papers
- Mohammad Mahdian 7 shared papers
- Santiago Balseiro 7 shared papers
- Silvio Lattanzi 7 shared papers