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Teaching

• Algorithmic Machine Learning and Data Science (Spring 2026)
• Basic Algorithms (Spring 2026)
• Basic Algorithms (Spring 2023)
• Algorithmic Machine Learning and Data Science (Fall 2022)
• Design and Analysis of Algorithms (Fall 2020)

Talks

• Simple Analysis of Priority Sampling
• Weighted MinHash for Inner Product Estimation
• Efficient Approximations for Cache-conscious Data Placement
• QJL: 1-Bit Quantized JL Transform for KV Cache Quantization with Zero Overhead
• TurboQuant: Online Vector Quantization with Near-optimal Distortion Rate
• QJL: 1-Bit Quantized JL Transform for KV Cache Quantization with Zero Overhead
• QJL: 1-Bit Quantized JL Transform for KV Cache Quantization with Zero Overhead
• Accelerating Transformers via Kernel Density Estimation